Head of Data Product & Governance, Managing Director

State Street•Boston, MA

15h

About The Position

The Managing Director, Head of Data Product & Governance leads Finance data product strategy and governance for the CFO organization and stakeholders across Treasury, Financial Risk, and Sustainability. The role delivers certified, reusable data products and advances One Data Foundation by centralizing common data, reducing fragmented sourcing and redundant transformations, and consolidating reliance on legacy platforms. It embeds governance by design throughout the data product lifecycle, including critical data elements, business definitions, ownership, lineage, data-quality rules, consumer/producer agreements, and controls. Working across Finance, Treasury, data, and technology, the role translates business, reporting, and regulatory requirements into scalable data products. It owns the Finance data product strategy, product operating model, and governance requirements, while partnering with technology and enterprise data teams on architecture, engineering, platforms, and tooling. The leader modernizes delivery through process reengineering, agile practices, AI, and automation, balancing innovation with regulatory, risk, and control requirements. The position leads a global U.S. and India organization across data products, governance, Finance data, and process transformation. It sets direction, develops talent, builds a high-performance culture, and drives alignment and execution across organizational boundaries. The role applies Finance and Treasury knowledge across accounting, planning, balance-sheet management, and financial, management, and regulatory reporting, and executes governance consistent with BCBS 239, Finance controls, and applicable regulatory expectations.

Requirements

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 to balance innovation and speed with regulatory, risk, and control requirements.
Experience leading large, multidisciplinary global teams.
Success influencing senior executives and delivering across organizational boundaries.
Exceptional executive communication, judgment, and change leadership.

Nice To Haves

CPA, CFA, FRM, MBA, treasury qualification, or equivalent Finance/Treasury expertise.
Deep experience in banking, capital markets, asset servicing, or another regulated financial-services environment.
Experience leading Finance or Treasury data transformation, platform consolidation, or enterprise data products.
Experience establishing a product operating model covering ownership, certification, governance, adoption, and lifecycle management.
Experience moving fragmented legacy environments toward a common enterprise data foundation.
Experience supporting regulatory remediation, Finance controls, audit, or examinations involving governance, data quality, or lineage.
Familiarity with enterprise data, governance, AI, and automation, with credibility among technology and architecture leaders.
Experience shifting project- or policy-oriented organizations toward product-based, automated, and outcome-oriented ways of working.

Responsibilities

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 data capture, common definitions, authoritative sources, and data reuse.
Establish product ownership, consumer needs, business requirements, service expectations, consumer/producer agreements, and measurable outcomes.
Drive 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.
Translate accounting, regulatory, reporting, planning, Treasury, and financial-risk requirements into scalable data products.
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.
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.
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; test controlled approaches and scale proven capabilities.
Measure AI-enabled improvements in delivery speed, quality, controls, reuse, and employee capacity.
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 make decisions 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.

Benefits

401(k) retirement savings plan with company match
Basic life insurance
Medical insurance
Dental insurance
Vision insurance
Long-term disability coverage
Other optional additional insurance coverages
Paid time off, including vacation and sick leave
Short-term disability
Family-care support
Employee Assistance Program
Incentive compensation, including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans)
Eligibility for certain tax-advantaged savings plans
Inclusive development opportunities
Flexible work-life support
Paid volunteer days
Employee networks