Data Governance GTM LEAD

We are seeking a FS Core Data Management GTM Leader to build and take to market a differentiated, AI-driven Financial Services Core Data Management capability spanning across Data Trust data governance, data quality, master/reference data management (MDM/RDM), metadata and lineage, and data security/privacy plus Managed Data Services across hybrid Data Ecosystem. This leader will define the offerings, solutions, and GTM campaigns, leveraging AI data agents embedded across end-to-end data management processes to deliver measurable improvements in trust, control, and efficiency for Banking and Insurance clients.

What you will do

• Own the end-to-end vision, strategy, and roadmap for FS Core Data Management, covering Data Trust (data governance, data quality, MDM/RDM, metadata and lineage, and data security/privacy) and Managed Data Services.
• Define market-facing offerings across advisory, implementation, and Managed Data Services; package outcomes, scope, pricing models, and delivery playbooks.
• Architect an Agentic AI-enabled operating model for data management, leveraging reusable agents across key steps (e.g., policy authoring, stewardship workflows, controls testing, DQ rule generation, MDM matching/survivorship, issue triage, metadata/lineage enrichment, and continuous monitoring).
• Establish reference architectures and tool patterns across leading ecosystems (cloud, data platforms, and governance/DQ/MDM/privacy tooling), ensuring FS regulatory alignment and auditability.
• Lead GTM execution: develop differentiated messaging, points of view, pitch decks, demos, solution briefs, case studies, and ROI models; enable sellers and client teams with talk tracks and objection handling.
• Drive proactive marketing in partnership with Marketing and Alliances campaign strategy, content calendar, webinars/events, partner co-marketing, and thought leadership to generate pipeline.
• Own pipeline impact and pursuit support: identify target accounts, shape opportunities, lead CDO/CISO/CIO conversations, respond to RFPs, and steer proofs of concept to scalable solutions.
• 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 all bring

• 5+ 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.

The base compensation range for this role in the posted location is: 200000 to 250000

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…