Chief Data Officer (CDO)- Nexus Consortiums

Chief Data Officer (CDO)- Nexus Consortiums is a senior executive leadership pathway for data leaders, data governance executives, data infrastructure builders, analytics leaders and institutional data strategists who can define, govern and scale trusted data capability across Nexus-aligned organizations at national, regional and global levels.

Nexus Agency is seeking exceptional Chief Data Officer (CDO) candidates for leadership roles across Nexus Consortiums and Nexus-aligned companies, organizations, platforms, implementation vehicles, public-interest institutions, research-to-market initiatives and partner-led ventures.

The CDO role is designed for leaders who can translate mission, strategy, institutional needs and technical requirements into credible data strategy, governed data infrastructure, interoperable data systems, AI-ready data foundations, decision intelligence and measurable public-interest outcomes. Candidates may be considered for national CDO, regional CDO, global CDO, consortium CDO, founding CDO, interim CDO, portfolio CDO and venture-building CDO roles across the Nexus ecosystem.

This is a continuous executive talent pipeline for CDOs who can build trusted data capability, not only manage datasets or reporting teams. The ideal candidate can move between data strategy, data governance, data architecture, data quality, data stewardship, analytics, AI readiness, geospatial intelligence, privacy, cybersecurity, interoperability, institutional adoption and executive-level communication.

The CDO must be able to help lead Nexus-aligned organizations across systemic risk, resilience, technology, finance, infrastructure, governance and institutional transformation. Relevant domains may include data infrastructure, data governance, artificial intelligence, geospatial intelligence, climate risk, disaster resilience, digital public infrastructure, cybersecurity, resilience finance, decision intelligence, systems innovation and emerging frontier technologies.

Role Type

This posting supports multiple CDO pathways across Nexus Agency and the wider Nexus-aligned network, including:

• National CDO
• Regional CDO
• Global CDO
• Consortium CDO
• Founding CDO
• Interim CDO
• Portfolio CDO
• Venture-Building CDO
• Public-Interest Technology CDO
• Mission-Driven Venture CDO
• Data Governance, Data Infrastructure or Decision Intelligence CDO

Leadership Context

Depending on the assignment, the CDO may serve as the senior data executive, founding data leader, data governance authority, data infrastructure leader, analytics executive, national or regional data head, technical partner to a CEO, President, CTO or CAIO, or data authority for a Nexus-aligned organization.

The role may report to a CEO, President, CTO, CAIO, founder, board, consortium governing body, regional platform, partner organization, holding structure or equivalent executive authority. In some organizations, the CDO may hold enterprise-wide data authority. In others, the CDO may lead data strategy, data governance, data architecture, data stewardship, analytics, data quality, interoperability and AI-ready data infrastructure within a broader Nexus-aligned platform, consortium structure or partner network.

This flexibility allows the role to support different structures while maintaining a consistent expectation: the CDO must convert mission and strategy into trusted data systems, governed data practices, usable analytics, AI-ready foundations, interoperable infrastructure and institutionally credible data adoption.

Location

Global, regional, national and mission-based opportunities.

Priority regions may include North America, Europe, the Middle East, Africa, Asia-Pacific, Latin America and the Caribbean. Hybrid, remote, regional-hub, national-office and mission-based engagement arrangements may be considered depending on the company, consortium, organization, program or partner initiative.

Engagement Type

Full-time, founding executive, national executive, regional executive, global executive, interim executive, fractional executive, portfolio executive, venture-building executive or advisory-to-executive pathway.

About Nexus Agency

Nexus Agency recruits strategic executive, technical, scientific, operational and institutional talent for Nexus Consortiums, Nexus-aligned companies, partner organizations, public-interest technology initiatives, regional implementation vehicles, applied research platforms, institutional innovation programs and mission-driven ventures.

Nexus Agency supports leadership hiring across organizations working in artificial intelligence, applied machine learning, data infrastructure, data governance, geospatial intelligence, spatial data systems, Earth observation, remote sensing, climate adaptation, climate risk, disaster risk reduction, emergency preparedness, edge computing, sensor networks, connected infrastructure, cybersecurity, digital public infrastructure, digital public goods, resilience finance, risk analytics, decision intelligence, simulation, digital twins, systems innovation, institutional transformation and regional implementation.

This posting is part of a long-term, continuous CDO recruitment pipeline for national, regional and global Nexus-aligned leadership roles.

About Nexus Consortiums

Nexus Consortiums are mission-aligned implementation and partnership structures designed to bring together companies, public-interest organizations, technology partners, public institutions, universities, civil society, finance partners, infrastructure stakeholders, regional actors and implementation teams around practical risk intelligence and resilience objectives.

Nexus Consortiums may operate at national, regional or global levels, depending on the mandate, geography, governance model, partner structure and implementation need. These organizations may support climate-risk intelligence, AI-enabled decision support, geospatial systems, resilience infrastructure, standards, assurance, deployment coordination, data collaboration, finance-readiness, emergency preparedness, mission operations, institutional capacity-building and multi-stakeholder implementation.

A Chief Data Officer (CDO)- Nexus Consortiums may lead data strategy, data governance and data infrastructure for one or more Nexus-aligned structures, including a national consortium, regional consortium, global platform, implementation company, technology venture, public-interest organization, partner company, regional operating vehicle or specialized initiative aligned with Nexus missions and structures.

Strategic Mission of the CDO

The CDO will help build, govern and scale trusted data capability across Nexus-aligned organizations that strengthen national, regional and global capacity to understand, govern, finance and act on complex risk.

Depending on the opportunity, the CDO may be responsible for:

• Defining data strategy for a National Nexus Consortium
• Leading data governance for a Regional Nexus Consortium
• Building data infrastructure for a global Nexus-aligned platform
• Leading data strategy for a Nexus implementation company or partner organization
• Scaling trusted data capability across a Nexus-aligned public-interest or mission-driven technology venture
• Translating CEO, President, CTO, CAIO, board or consortium strategy into data roadmaps, data governance and decision-intelligence systems
• Building data infrastructure for AI, geospatial intelligence, climate-risk, resilience or public-interest technology platforms
• Leading data quality, data stewardship, lineage, interoperability, metadata, privacy and responsible data use
• Coordinating data delivery across product, engineering, AI, security, research, partnerships and implementation teams
• Building national, regional or global data capacity
• Turning Nexus-aligned missions into trusted data systems, analytics infrastructure, decision-support tools and measurable public-interest value

The CDO must combine data fluency with executive judgment. This means helping build ambitious data-enabled organizations while protecting legal accuracy, institutional trust, governance quality, cybersecurity, privacy, data rights, procurement neutrality, financial realism, delivery performance and long-term credibility.

Why This Role Matters

Nexus-aligned organizations operate in complex environments where data must be trusted, governed, interoperable, secure, traceable and institutionally usable.

The CDO will help convert Nexus-aligned ambition into trusted data capability. This includes moving from fragmented data to governed infrastructure, from raw signals to decision intelligence, from isolated datasets to interoperable systems, from pilots to institutional adoption and from data collection to evidence-informed action.

This role matters because national, regional and global resilience work depends on data that can withstand complexity. It requires data quality, provenance, stewardship, privacy, cybersecurity, interoperability, metadata, analytics, institutional trust and the ability to build data systems that can be used responsibly by technical teams, decision-makers, partners and communities.

Key Responsibilities

Data Strategy and Executive Leadership

The CDO will define, organize and execute the data strategy for a Nexus Consortium, Nexus-aligned company, partner organization, implementation vehicle or public-interest technology initiative.

Responsibilities include:

• Define data vision, data strategy, data governance, data architecture and data roadmap.
• Build a credible national, regional or global data operating model.
• Establish data priorities, stewardship principles, data quality standards, decision pathways, performance metrics and delivery cadence.
• Translate mission and strategy into data infrastructure, data products, analytics systems, decision intelligence and measurable outcomes.
• Build a high-trust data culture grounded in technical excellence, accountability, transparency, privacy, security, documentation, interoperability, public-interest discipline and measurable delivery.
• Lead through ambiguity, incomplete information and multi-stakeholder complexity.
• Maintain focus, speed, accuracy, compliance and delivery discipline.
• Represent the organization as a credible CDO in complex public, private, academic, regional and international environments.

Data Governance, Stewardship and Institutional Trust

The CDO will establish data governance systems suitable for high-trust public-interest technology work.

Responsibilities include:

• Build or oversee data governance frameworks, data stewardship models, data quality controls, data access rules and responsible data-use practices.
• Support data documentation, metadata, lineage, provenance, auditability, retention, access control and lifecycle governance.
• Align data systems with institutional requirements, cybersecurity, privacy, legal obligations, partner expectations and public-interest safeguards.
• Establish data governance practices for high-impact, institution-facing or mission-critical use cases.
• Coordinate data governance across product, AI, engineering, cybersecurity, legal, compliance, policy, research and implementation teams.
• Support policies for data access, data sharing, data classification, data retention, data ethics, data protection and escalation.
• Ensure data systems are designed, deployed and monitored with integrity, accountability and evidence-based decision-making.

Data Architecture, Infrastructure and Interoperability

The CDO will guide data architecture, infrastructure, integration and interoperability across Nexus-aligned systems.

Responsibilities include:

• Build or oversee data platforms, data pipelines, data warehouses, data lakes, knowledge graphs, metadata systems, analytics environments and decision-support infrastructure.
• Translate institutional needs into data architecture, integration plans, operating models and measurable outcomes.
• Coordinate data engineers, software engineers, AI teams, geospatial specialists, cybersecurity teams, product teams, domain experts and implementation partners.
• Support open standards, interoperable data models, secure APIs, data exchange protocols, identity-aware access and cross-system integration where applicable.
• Ensure data infrastructure is secure, scalable, maintainable, usable and aligned with mission outcomes.
• Support data infrastructure for risk intelligence, climate intelligence, geospatial analytics, operational dashboards, simulation, digital twins and AI-enabled decision support.
• Build data systems that support institutional decision-making, not only technical storage or reporting.

AI-Ready Data and Decision Intelligence

The CDO will work closely with AI, technology and product leaders to ensure that AI systems are built on credible data foundations.

Responsibilities include:

• Define data-readiness standards for AI models, analytics, simulations, digital twins, automation and decision-support tools.
• Support data quality, lineage, metadata, labelling, feature governance, ground truth, validation datasets and model documentation where applicable.
• Align data governance with AI governance, privacy, cybersecurity, access control and institutional requirements.
• Coordinate data engineers, data scientists, machine learning engineers, product teams and domain experts.
• Ensure that AI systems use data that is fit for purpose, traceable, documented, secure and governed.
• Support responsible use of structured, unstructured, geospatial, remote sensing, climate, operational, financial, institutional and open-source data where applicable.
• Help translate complex data signals into actionable, documented and reviewable decisions.

Geospatial Data, Earth Observation and Spatial Intelligence

The CDO will help guide organizations working with geospatial data, spatial data systems, Earth observation, remote sensing, satellite data, location intelligence and spatial analytics.

Responsibilities include:

• Support geospatial data infrastructure, spatial data governance, Earth observation data workflows and location-intelligence systems.
• Integrate geospatial data with AI, climate data, risk analytics, operational dashboards, digital twins, simulation and decision-support tools.
• Coordinate geospatial specialists, data engineers, climate experts, infrastructure experts, product teams and institutional partners.
• Support open standards, interoperable spatial data models, metadata practices, spatial indexing, mapping interfaces and secure data access.
• Ensure that spatial data systems are technically credible, operationally usable, ethically governed and aligned with public-interest outcomes.
• Support geospatial data capabilities for climate risk, disaster resilience, infrastructure planning, emergency preparedness, risk intelligence and regional implementation.

Privacy, Cybersecurity and Trusted Data Infrastructure

The CDO will help ensure that data systems operate within secure and trustworthy technical environments.

Responsibilities include:

• Support data protection, privacy controls, access governance, identity-aware permissions, secure data pipelines and infrastructure resilience.
• Coordinate with cybersecurity and technology leaders on secure deployment, vulnerability management, incident readiness and responsible data access.
• Support governance for third-party data providers, data processors, APIs, data vendors, data-sharing partners and AI-enabled data services.
• Ensure that data systems are designed to protect confidentiality, integrity, availability, resilience and trust.
• Build privacy-aware and security-aware data cultures.
• Support cybersecurity and privacy expectations for institution-facing, public-sector, critical infrastructure, finance, insurance, research and community-sensitive environments.

Analytics, Evidence Systems and Performance Intelligence

The CDO will help build analytics and evidence systems that support leadership, operations, delivery and public-interest outcomes.

Responsibilities include:

• Lead or support analytics strategy, business intelligence, decision intelligence, performance dashboards, evidence systems and executive reporting.
• Establish data quality metrics, data maturity indicators, performance measures and review cadences.
• Support operational analytics, risk analytics, climate analytics, geospatial analytics, financial analytics, delivery analytics and impact measurement.
• Coordinate analytics teams, domain experts, product teams, operations teams and institutional partners.
• Ensure that analytics are accurate, interpretable, documented, usable and aligned with decision needs.
• Build reporting systems that support governance, accountability, delivery performance and long-term institutional learning.
• Strengthen the organization’s ability to move from data to evidence, from evidence to decisions and from decisions to measurable outcomes.

Data Collaboration, Sharing and Partner Integration

The CDO will help align data strategy across Nexus Consortiums and Nexus-aligned organizations at national, regional and global levels.

Responsibilities include:

• Translate consortium priorities into data roadmaps, data requirements, data-sharing models, integration plans, delivery timelines and accountability systems.
• Align members, partners, implementers, engineering teams, scientific advisors and institutional stakeholders around data priorities.
• Support governance structures suitable for multi-stakeholder data collaboration.
• Develop practical data partnership models that enable credible delivery.
• Build trusted data relationships across public institutions, companies, universities, civil society organizations, community stakeholders, development institutions, technology providers, infrastructure operators and financial partners.
• Support consortium growth, member activation, implementation readiness and long-term data positioning.
• Convert partnerships into data workstreams, data workstreams into delivery plans and delivery plans into measurable outcomes.
• Create collaboration models that do not overstate authority, endorsement, public mandate, regulatory approval, certification or implementation rights.

Data Talent, Culture and Team Building

The CDO will help recruit, structure, develop and retain high-performing data teams across the Nexus ecosystem.

Responsibilities include:

• Build data teams across data engineering, data science, analytics, data governance, data stewardship, geospatial data, AI readiness, cybersecurity, product, research, climate risk, simulation, delivery and regional implementation.
• Create a culture of data quality, responsible data use, technical excellence, disciplined execution, integrity, urgency, documentation, collaboration and public-interest responsibility.
• Build management depth, data engineering capacity and succession strength for national, regional and global scale.
• Support continuous data and technical hiring pipelines across Nexus Agency, Nexus Consortiums, partner companies, public-interest organizations, regional vehicles, programs and initiatives.
• Promote inclusive, globally capable teams able to work across cultures, sectors, institutions and technical domains.
• Recruit leaders and data professionals who can perform in high-trust, complex, multi-stakeholder environments.

Data Communication and Institutional Credibility

The CDO will serve as a credible data voice for the organization.

Responsibilities include:

• Lead or support data communications with boards, public institutions, customers, partners, funders, investors, universities, media and ecosystem stakeholders.
• Translate complex data concepts into clear executive, institutional and non-technical language.
• Support thought leadership in data governance, data infrastructure, responsible data use, AI-ready data, climate resilience, geospatial intelligence, risk infrastructure, public-interest technology, cybersecurity, digital transformation and consortium-based implementation.
• Build data recognition, trust and strategic visibility for Nexus-aligned missions.
• Ensure public-facing data language is accurate, search-optimized and aligned with actual authority, capability and delivery status.
• Represent Nexus Consortiums and Nexus-aligned organizations in a way that strengthens credibility and long-term value.

Ideal Candidate Profile

The ideal candidate for Chief Data Officer (CDO)- Nexus Consortiums is a high-integrity data executive, data governance leader, data infrastructure builder, analytics strategist, data science executive, evidence-systems leader or public-interest data builder with experience developing credible data capability in complex, high-trust environments.

Strong candidates may include:

• Former CDOs, Chief Data Officers, Chief Analytics Officers, Chief Digital Officers, Chief AI Officers, Chief Technology Officers and Chief Information Officers
• Data founders, data infrastructure leaders, data product executives and data venture builders
• Data governance, data stewardship, data quality, data ethics and data assurance leaders
• AI-ready data, geospatial data, cybersecurity and decision-intelligence leaders
• Public-sector technology, GovTech, civic technology and institutional transformation leaders
• Infrastructure, insurance, finance, risk, resilience and technology executives
• Development finance, multilateral program and public-private partnership data leaders
• Venture studio, platform company, deep tech, climate tech and resilience technology builders
• Consortium data leaders, technical partnership executives and ecosystem builders
• Applied research commercialization, digital infrastructure and frontier technology leaders

Strong candidates may come from:

• Data strategy, data governance, data engineering and analytics
• Data science, AI-ready data infrastructure and decision intelligence
• Geospatial intelligence, spatial data systems, Earth observation or remote sensing
• Climate technology, climate risk, resilience, adaptation or disaster risk reduction
• Public-sector innovation, GovTech, civic technology, systems innovation or digital public infrastructure
• Enterprise technology, secure cloud infrastructure, data platforms, cybersecurity or systems integration
• Critical infrastructure, emergency management, risk intelligence, insurance, finance or development finance
• International development, regional implementation, multilateral programs, public-private partnerships or consortium leadership
• Frontier technology, applied research commercialization, deep tech or venture building

The CDO must be able to lead across data strategy, data governance, data infrastructure, analytics, AI readiness, cybersecurity, product, institutional adoption, partnerships, regional implementation and cross-cultural execution.

Required Qualifications

• Significant leadership experience as a CDO, Chief Data Officer, Chief Analytics Officer, Chief Digital Officer, Chief AI Officer, CTO, CIO, data founder, data engineering executive, data science executive, data governance leader or equivalent data leader.
• Demonstrated ability to build, launch, scale, transform or operate data platforms, data governance programs, data teams, analytics systems, decision-intelligence systems, institutional technology programs or multi-stakeholder data initiatives.
• Strong understanding of data-enabled operating models, public-sector or enterprise delivery, institutional partnerships and operational execution.
• Proven ability to manage data teams, analytics teams, data roadmaps, governance structures, vendors, partners, contracts and delivery obligations.
• Demonstrated ability to lead through ambiguity, incomplete information and multi-stakeholder complexity.
• Ability to translate mission and strategy into data roadmaps, data governance, data architecture, analytics systems, performance systems and measurable outcomes.
• Ability to communicate complex data, technical, institutional and operational ideas clearly to executive and non-technical audiences.
• Strong judgment, discretion, integrity, resilience and accountability.
• Ability to operate in high-trust, security-conscious, compliance-sensitive and multi-stakeholder environments.
• Excellent written communication, verbal communication, data storytelling, facilitation and executive presentation skills.

Preferred Qualifications

• Experience with data platforms, data governance, data engineering, analytics, AI-ready data, machine learning, enterprise systems, geospatial intelligence, Earth observation, climate data, emergency management, digital twins, edge computing, cybersecurity, secure cloud infrastructure or public-interest technology.
• Experience working with public institutions, public agencies, procurement authorities, technical authorities, multilateral institutions, critical infrastructure operators, universities, insurers, financial institutions, development institutions, civil society organizations or regulated sectors.
• Experience leading data for public-sector pilots, innovation programs, institutional programs, consortium initiatives, regional programs, global programs, public-private partnerships or institutional partnerships.
• Experience with data strategy, data governance, data stewardship, data quality, data architecture, interoperability, metadata, lineage, privacy, cybersecurity, product strategy, enterprise delivery, venture scaling, ecosystem development or regional implementation.
• Experience managing privacy, cybersecurity, data governance, security review, data controls, data documentation, contracts, audit readiness or operational risk controls.
• Experience operating across international, regional, cross-cultural or mission-based environments.
• Advanced degree in data science, computer science, engineering, statistics, geospatial science, cybersecurity, climate science, systems engineering, public policy, business, economics or a related field is an asset, but not required.

Core Competencies

• CDO leadership
• Data strategy
• Data governance
• Data stewardship
• Data quality
• Data architecture
• Data infrastructure
• Data engineering leadership
• Analytics leadership
• Decision intelligence
• Data science leadership
• AI-ready data strategy
• Data governance and privacy
• Data ethics and responsible data use
• Geospatial data strategy
• Climate data strategy
• Cybersecurity awareness
• Secure data infrastructure
• Digital public infrastructure
• Interoperability and standards
• Metadata and lineage
• Technical governance
• Consortium data leadership
• National data leadership
• Regional data leadership
• Global data leadership
• Emerging frontier technology literacy
• Data talent leadership
• Cross-sector coordination
• Regional and global operating judgment
• Executive communication
• Crisis judgment
• Ethical data leadership
• Long-term data value creation

Relevant Domains for CDO Opportunities

CDO candidates may be matched to opportunities across Nexus Consortiums, Nexus-aligned companies, partner organizations and regional or global implementation vehicles working in:

• Nexus Consortiums, National Nexus Consortiums, Regional Nexus Consortiums and global Nexus-aligned platforms
• Data infrastructure, data governance, data engineering, analytics, decision intelligence, risk analytics and predictive analytics
• Artificial intelligence, applied machine learning, generative AI, agentic AI, responsible AI, AI governance and AI safety
• AI-ready data, training data, evaluation data, model documentation, model risk and trustworthy automation
• Geospatial data, geospatial intelligence, spatial data systems, Earth observation, remote sensing, satellite data and location intelligence
• Climate data, climate risk, climate adaptation, disaster risk reduction, emergency preparedness, resilience technology and critical infrastructure resilience
• Edge data, edge computing, distributed systems, sensor networks, connected infrastructure, telemetry, secure cloud infrastructure and digital public infrastructure
• Simulation data, digital twins, scenario modelling, operational resilience, emergency exercises and systems modelling
• Cybersecurity, data security, zero trust, privacy, identity, post-quantum security, secure infrastructure and trusted systems
• Distributed systems, distributed ledger infrastructure, verifiable credentials, decentralized identity, privacy-preserving computation and digital trust infrastructure
• Space systems, satellite systems, ground infrastructure, space data, Earth observation platforms and space-enabled resilience
• Biosecurity risk, computational biology, public health risk, One Health systems and biological risk intelligence
• Insurance, finance, resilience finance, model risk, risk-to-capital translation, development finance and institutional risk infrastructure
• Public-sector innovation, systems innovation, international development, mission operations, regional implementation and multi-country deployment
• Standards, assurance, conformance, trusted infrastructure, applied research commercialization and public-interest technology

Example CDO Assignments

Depending on active opportunities across Nexus Agency, Nexus Consortiums, partner companies and the wider Nexus-aligned network, candidates may be considered for roles such as:

• CDO of a National Nexus Consortium
• CDO of a Regional Nexus Consortium
• CDO of a Global Nexus-aligned platform
• CDO of a Nexus implementation company
• CDO of a Nexus-aligned technology venture
• CDO of a Nexus-aligned public-interest organization
• CDO of a climate-risk intelligence venture
• CDO of an AI and data infrastructure company
• CDO of a geospatial intelligence or Earth observation organization
• CDO of a data governance or data infrastructure platform
• CDO of a resilience finance or risk intelligence platform
• CDO of a partner organization with Nexus-aligned mission and structure
• Founding CDO of a Nexus-aligned deployment company
• Interim CDO for a partner organization preparing for public-sector or institutional delivery
• Portfolio CDO supporting multiple Nexus-aligned ventures or programs
• CDO of a consortium-backed public-interest technology initiative
• Venture-building CDO for a new data platform, product, regional vehicle or operating company

Who This Role Is For

This role is for CDOs who can build trusted data capability. Strong candidates can define data strategy, build data teams, govern data, protect privacy and security, scale data infrastructure and turn mission into usable, responsible and institutionally credible data systems.

Strong candidates will be comfortable with ambiguity, complex stakeholders, public-sector expectations, technical teams, high-growth environments, governance obligations, cross-functional coordination and long-term institution building.

This role is especially suited for leaders who can operate across data, AI, technology, policy, finance, risk, public-sector delivery, regional implementation, institutional partnerships and global platforms.

Who This Role Is Not For

This is not a title-only role. It is not suited for candidates who prefer data rhetoric over operational reality, who cannot operate through ambiguity, or who are uncomfortable being accountable for data governance, data quality, data readiness, cybersecurity, privacy, stakeholder trust and institutional performance.

It is not suitable for candidates who are uncomfortable with hands-on data leadership, public-sector discipline, security expectations, compliance, technical complexity, cross-sector coordination or measurable delivery.

What Success Looks Like

A successful Chief Data Officer (CDO)- Nexus Consortiums will:

• Build data capacity for a credible, secure, governed, scalable, executable and trusted organization.
• Establish disciplined data systems across strategy, governance, architecture, quality, analytics, security, AI readiness and delivery workstreams.
• Recruit and lead strong data, analytics and cross-functional teams.
• Convert strategy into data roadmaps, data governance, data products, analytics systems, accepted deliverables, performance systems, revenue support or measurable growth.
• Turn partnerships into data execution and data execution into trusted systems.
• Maintain disciplined data governance, cybersecurity, privacy, data, legal, procurement, governance and operational controls.
• Communicate data priorities clearly, professionally and confidently.
• Advance national, regional or global Nexus-aligned missions without overstating authority, mandate, endorsement, certification or capability.
• Create long-term data value for Nexus Consortiums, partner organizations, customers, communities and public-interest outcomes.

Compensation

Compensation will be calibrated to the mandate, geography, organization stage, scope of authority, data responsibility, funding model and engagement structure.

Compensation structures may include:

• Executive salary
• Consulting fees
• CDO retainer
• Interim executive compensation
• Performance incentives
• Project-based compensation
• Equity or option participation where applicable
• Consortium data leadership compensation
• Hybrid compensation structures

Final compensation will be determined by the specific company, consortium, organization, platform, program or partner initiative.

Equal Opportunity and Inclusive Talent Statement

Nexus Agency welcomes candidates from diverse professional, geographic, cultural, technical, institutional and sectoral backgrounds.

We are especially interested in CDOs who can bridge disciplines, sectors, regions and organizations, and who can build trusted data systems for complex public-interest challenges.

How to Apply

Candidates who have built data platforms, led data governance, scaled analytics teams or managed institutional data delivery at scale are encouraged to apply.

Candidates interested in Chief Data Officer (CDO)- Nexus Consortiums opportunities should submit:

• Resume or executive profile
• LinkedIn profile or professional biography
• Short statement of CDO interest
• Relevant leadership, data, analytics, governance, AI, cybersecurity, geospatial, public-sector, venture, regional or institutional experience
• Preferred geography, engagement model and availability
• Examples of data platforms, data products, data systems, governance frameworks, teams, partnerships or deployment initiatives led

Applications will be reviewed on a rolling basis for current and future Nexus-aligned CDO opportunities.

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