Job Description:

• Build and govern delivery readiness: methods, templates, accelerators, controls libraries, and a community of practitioners; ensure repeatability across regions and accounts.• Stand up and scale Managed Data Services across the federated data ecosystem, including runbooks, SLAs/SLOs, KPI dashboards, incident/problem management, and continuous improvement enabled by automation and agents.
• Provide executive governance across active engagements, ensuring successful outcomes, risk management (security/privacy), and continuous enhancement of the capability based on field feedback.

What you'll bring:

• 15+ years of experience across data management and data platforms, with deep expertise in Data Trust disciplines (governance, stewardship, data quality, metadata/lineage, MDM/RDM, and privacy/security).
• Proven GTM leadership: building offerings, messaging, and sales enablement, and scaling adoption; strong executive presence with CDO/CIO/CISO/CTO stakeholders.
• Hands-on experience designing and operating data governance and quality operating models, including policies/standards, controls, issue management, and measurement (KPIs/OKRs).
• Experience with MDM/RDM strategy and implementation (domain modeling, matching/survivorship, golden record management) and integration with downstream analytics and AI use cases.
• Strong knowledge of data security and privacy practices in regulated environments (e.g., classification, access controls, encryption, consent/retention, and privacy impact assessments) in partnership with security and legal teams.
• Demonstrated ability to embed automation, GenAI, and Agentic AI into data management workflows to improve productivity, control effectiveness, and time to trust.
• Experience building and scaling Managed Data Services (or shared services) with SLAs/SLOs, runbooks, service management, and continuous improvement.
• Strong leadership in global, matrixed organizations; able to build communities, mentor teams, and drive execution through ambiguity.

Nice to have:

• Experience with data governance, catalog, and lineage platforms (e.g., Collibra, Informatica, Alation, Microsoft Purview) and data quality/observability solutions.
• Experience with MDM platforms (e.g., Informatica, Reltio, Semarchy) and reference data management patterns for FS domains.
• FS regulatory and risk/control experience (e.g., model risk management, data retention, BCBS 239 style principles, audit readiness) and working with second/third line functions.
• Experience with agent orchestration frameworks and patterns (tool use, planning, evaluation/guardrails) applied to enterprise data operations.
• Co marketing, alliance GTM, or product marketing experience (campaigns, events, partner motions) in data, security, or AI domains.

Why join

• You will shape and scale a market-leading Financial Services Core Data Management and Data Trust capability-turning best practices in governance, quality, MDM, and security/privacy into repeatable offerings and Managed Data Services. This is a high-impact leadership role with visibility across senior executives, strategic partners, Marketing, and priority client programs-helping clients become truly AI-ready by making data trusted, controlled, and operationally efficient through Agentic AI.
  Keywords (ATS)
• Data Trust, Core Data Management, Data Governance, Data Stewardship, Data Quality, Data Observability, Metadata Management, Data Catalog, Data Lineage, Master Data Management (MDM), Reference Data Management (RDM), Data Security, Data Privacy, Controls & Compliance, Operating Model, Managed Data Services, GTM Strategy, Sales Enablement, Marketing Campaigns, Thought Leadership, Agentic AI, Autonomous Agents, GenAI Automation, Financial Services (Banking, Insurance).

The base compensation range for this role in the posted location is: 140,000 - 160,000

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility