Chief of Staff – Data, AI & Analytics

We’re looking for an AI-first operator to serve as the Data & AI team''s orchestrator working closely with the Chief Data & AI Officer —leading an enterprise-level Value Office and driving cross-functional execution across a global portfolio of AI, analytics, data, and architecture initiatives. Experience as Chief of Staff for technology leaders is a plus.

In this role, you’ll build and run the operating system that turns strategy into outcomes: portfolio governance, executive reporting, intake-to-delivery workflows, value measurement, and accountability mechanisms. You’ll bring strong program leadership, exceptional attention to detail, and the ability to operate effectively across global teams and time zones.

Role & Responsibilities

Value Office & Business Impact

Stand up and lead the Value Office to track and accelerate measurable outcomes from AI, analytics, and data initiatives.

Define and institutionalize a value measurement framework (e.g., productivity, cost reduction, revenue/growth, and customer/product impact).

Operate an executive-ready monthly performance and portfolio reporting engine end-to-end (intake, baselining, finance alignment, progress, risks, and actions).

Build and maintain a single source of truth for initiatives, value, status, dependencies, and risks—evolving from structured trackers to dashboards as maturity grows.

Partner closely with Finance to ensure consistent value definitions, validation practices, and credible attribution.

Operating Cadence & Accountability

Run the CDAO organization’s operating rhythm: leadership meetings, pillar reviews, business stakeholder touchpoints, quarterly planning, and OKR/goal cycles.

Drive “last-mile execution” by ensuring clear decisions, owners, timelines, and unblocking actions—with no orphaned follow-ups.

Establish and improve workflows spanning intake → prioritization → funding → delivery → adoption → value realization across multiple teams and workstreams.

Reduce meeting sprawl and increase decision velocity through stronger pre-reads, tighter agendas, and crisp action management.

Portfolio & Program Leadership

Maintain the enterprise AI/analytics portfolio backlog and portfolio Kanban, including prioritization signals, dependencies, and capacity constraints.

Help scale successful pilots quickly—and sunset low-value work decisively—using a pragmatic, outcome-based approach.

Partner with business and IT leaders to establish accountable single points of contact and clarify ownership across federated teams.

Drive cross-hub execution and time-zone continuity to enable “follow-the-sun” progress and smoother handoffs.

Strategic Projects & Special Operations

Stand up and scale AI adoption programs (e.g., copilots, agentic workflows, internal marketplaces/catalogs, enablement, and change management).

Coordinate vendor statements of work (SOWs), insourcing proposals, and “build vs. buy” evaluations using clear criteria (TCO, differentiation, IP sensitivity, integration fit, and time-to-value).

Support organizational build-outs and hiring waves with HR/TA—ensuring role clarity, leveling consistency, and fast onboarding/ramp.

Required Qualifications

Bachelor’s degree.

5 years of experience in management consulting.

3 years of experience in managing complex AI & analytics programs.

Preferred Qualifications

Bachelor’s degree in Computer Science, Data Science, Engineering, or other related disciplines.

Experience collaborating with cross-functional teams.

Strong stakeholder management skills.