Head of Data Product & Governance, Managing Director

The Finance Data & AI Office (DART) provides two core enterprise services: (1) Providing Certified Data and (2) Enabling Finance Transformation. This role is accountable for driving execution of the first while role-modeling the second, continuously transforming how data products and governance are delivered through process reengineering, AI and automation.
The Managing Director, Head of Data Product & Governance will lead certified, reusable data products for the CFO organization and stakeholders across Treasury, Financial Risk and Sustainability.
The leader will advance One Data Foundation by centralizing and reusing common data while reducing fragmented sourcing, redundant transformations and legacy-platform reliance.
The role will embed governance by design into the data product lifecycle, including Critical Data Elements (CDEs), business definitions, ownership, lineage, data-quality rules, consumer/producer agreements and controls.
Operating across Finance, Treasury, data and technology, the leader will translate business, reporting and regulatory requirements into scalable data products. The leader will use AI, automation and emerging technologies to replace manual, waterfall practices with agile and scalable delivery.
The role owns Finance data product strategy, the product operating model and governance requirements, partnering with technology and enterprise data teams on architecture, engineering, platforms and tooling.
The leader will manage a global U.S. and India team and drive alignment, accountability and execution across organizational boundaries.
What you will be responsible for
One Data Foundation & Data Products
Define and execute the Finance data product strategy and roadmap, delivering certified, reusable products across Finance, Treasury, Financial Risk and Sustainability.
Advance One Data Foundation through centralized capture, common definitions, authoritative sources and data reuse.
Establish clear product ownership, consumer needs, business requirements, service expectations, consumer/producer agreements and measurable outcomes.
Drive strategic product adoption while reducing duplicate sourcing, transformations and local solutions.
Set Finance priorities and partner with technology to consolidate legacy data platforms and align investment with enterprise architecture.
Link new data product development to the rationalization and retirement of legacy products and platforms.
Finance & Treasury Business Leadership
Translate accounting, regulatory, reporting, planning, Treasury and financial-risk requirements into scalable data products.
Apply strong knowledge of common data models across the general ledger, sub-ledgers, Treasury, FP&A, management and regulatory reporting, financial-risk metrics, charter of accounts, reference data and legal entities.
Apply process-reengineering and product-management disciplines to simplify data sourcing, transformation, governance and consumption.
Use data, technology and strategic platforms to strengthen controls, improve efficiency and simplify Finance processes.
Build partnerships across Finance, Treasury, Financial Risk, Sustainability, technology and enterprise data teams to align priorities and outcomes.
Governance by Design
Define practical, sustainable governance standards and processes aligned with enterprise policies and regulatory expectations.
Embed CDE identification, definitions, ownership, lineage, data-quality rules, controls, metadata and consumer/producer agreements into the product lifecycle.
Establish product certification standards and ensure governance and control requirements are met through development and release.
Establish accountability across upstream data owners, data product owners, governance leaders, data stewards and technology partners.
Align governance with enterprise and peer data organizations and influence tooling, standards and process design.
Execute governance consistent with BCBS 239, Finance controls and applicable regulatory expectations.
AI-Enabled Product & Governance Transformation
Modernize product delivery from manual, waterfall processes to agile, iterative and increasingly automated ways of working.
Sponsor responsible use of AI, automation and emerging technologies across requirements, design, metadata, CDEs, lineage, data-quality rules, documentation, testing and certification, partnering with technology on implementation.
Simplify and automate governance to reduce manual effort and improve consistency, transparency and control effectiveness.
Build a culture of experimentation and continuous improvement that challenges legacy practices, tests controlled approaches and scales proven capabilities.
Measure AI-enabled improvements in delivery speed, quality, controls, reuse and employee capacity.
Leadership & Organizational Management
Lead and develop a global U.S. and India organization spanning data products, governance, Finance data and process transformation.
Build a high-performance culture centered on outcomes, accountability, collaboration, curiosity and continuous improvement.
Attract and develop talent combining Finance expertise, data fluency, product thinking, controls discipline and technology awareness.
Set strategic direction while empowering teams to decide and own outcomes.
Influence senior stakeholders across business, technology, risk and enterprise functions to drive alignment and outcomes without direct authority.
Translate complex data, AI, regulatory and technology topics into clear business decisions.
Navigate ambiguity, challenge established practices constructively and lead organizational, process and technology change.
Education & Preferred Qualifications
Required Qualifications & Skills
Significant leadership experience across Finance, Treasury, data products, governance or Finance transformation in a large financial-services organization.
Strong understanding of Finance and Treasury processes, including accounting, planning, balance-sheet management, financial, management and regulatory reporting, and related data requirements.
Strong understanding of financial data models, including ledger structures, legal entities, products, customers and key Finance dimensions.
Proven experience delivering enterprise or Finance data products for multiple processes and consumers.
Demonstrated command of governance, including CDEs, definitions, ownership, lineage, data-quality rules, metadata, controls, consumer/producer agreements and certification.
Strong knowledge of control frameworks and BCBS 239, translating regulatory and control expectations into sustainable execution.
Proven use of data and technology to redesign processes, strengthen controls, improve efficiency and solve complex problems.
Ability to replace manual, waterfall delivery with agile, automated and product-oriented ways of working.
Intellectual curiosity and demonstrated ability to translate AI, automation and emerging technologies into practical business improvements.
Ability