Head of Data Product & Governance, Managing Director

State Street•Boston, MA

2d•$170,000 - $282,500

About The Position

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 role is accountable for delivering the Finance Data & AI Office’s certified-data service while modeling Finance transformation through process reengineering, AI and automation. The leader will advance One Data Foundation by centralizing and reusing common data, reducing fragmented sourcing, redundant transformations and reliance on legacy platforms. They will own 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 role embeds 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. It translates business, reporting and regulatory requirements into scalable products and uses AI, automation and emerging technologies to replace manual, waterfall practices with agile, scalable delivery. The position leads a global U.S. and India team and drives alignment, accountability and execution across organizational boundaries. State Street describes its employee offering as including inclusive development opportunities, flexible work-life support, paid volunteer days and employee networks.

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 capture, common definitions, authoritative sources and data reuse.
Establish 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.
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.
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, testing controlled approaches and scaling 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 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.

Benefits

Retirement savings plan (401K) with company match.
Insurance coverage including basic life, medical, dental, vision, long-term disability and optional additional coverages.
Paid time off including vacation, sick leave, short-term disability and family care responsibilities.
Access to the Employee Assistance Program.
Incentive compensation, including eligibility for annual performance-based awards, with certain sales-role exclusions.
Eligibility for certain tax-advantaged savings plans.
Inclusive development opportunities.
Flexible work-life support.
Paid volunteer days.
Employee networks.