Managing Director – Enterprise Architecture, Data & AI Governance

Overview
Baker Tilly is a leading advisory, tax and assurance firm, providing clients with a genuine coast-to-coast and global advantage in major regions of the U.S. and in many of the world’s leading financial centers – New York, London, San Francisco, Los Angeles, Chicago and Boston. Baker Tilly Advisory Group, LP and Baker Tilly US, LLP (Baker Tilly) provide professional services through an alternative practice structure in accordance with the AICPA Code of Professional Conduct and applicable laws, regulations and professional standards. Baker Tilly US, LLP is a licensed independent CPA firm that provides attest services to its clients. Baker Tilly Advisory Group, LP and its subsidiary entities provide tax and business advisory services to their clients. Baker Tilly Advisory Group, LP and its subsidiary entities are not licensed CPA firms.
Baker Tilly Advisory Group, LP and Baker Tilly US, LLP, trading as Baker Tilly, are independent members of Baker Tilly International, a worldwide network of independent accounting and business advisory firms in 141 territories, with 43,000 professionals and a combined worldwide revenue of $5.2 billion. Visit bakertilly.com or join the conversation on LinkedIn, Facebook and Instagram.
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Job Description:
Baker Tilly is seeking a Managing Director – Enterprise Architecture, Data & AI Governance to lead the firm’s enterprise architecture function and establish the architectural and governance foundation required to scale technology, data, and artificial intelligence responsibly across the enterprise.
Reporting directly to the Chief Digital & Information Officer (CDIO), this leader will serve as the firm’s senior authority for enterprise architecture and will bring together Enterprise Architecture, Data Governance, and AI Governance into an integrated enterprise capability. The role will establish the standards, guardrails, decision rights, controls, and governance mechanisms that allow Baker Tilly to innovate rapidly while maintaining enterprise integrity, interoperability, security, data quality, responsible AI practices, operational sustainability, and the control discipline expected of a future publicly traded company.
As Baker Tilly prepares for the possibility of becoming a publicly traded company, this leader will help mature technology, data, and AI governance to public-company standards. The role will partner closely with Innovation, Finance, Risk, Legal, Privacy, Security, Internal Audit, and other control functions to establish durable evidence, accountability, traceability, and control practices that can withstand executive, board, auditor, regulator, and investor scrutiny.
This role is central to Baker Tilly’s evolving technology operating model. Enterprise Architecture will operate as an enabling enterprise function—not simply an architecture review body—providing reusable standards and patterns, engaging early with capability and product teams, governing critical architectural decisions, and creating clear paths that allow teams to move quickly within established enterprise guardrails.
A critical element of the mandate is maintaining a clear architectural seam between core Enterprise Technology and emerging AI Innovation in partnership with Baker Tilly’s AI Product Group (APG).
Strategic Mandate
Establish an integrated enterprise architecture function that defines Baker Tilly’s target technology architecture and provides clear standards, patterns, roadmaps, and guardrails across the technology estate.
Own enterprise Data & AI Governance, creating a coherent governance model covering enterprise data standards, responsible AI, risk-tiered AI and agent approval, architecture compliance, technology lifecycle management and production readiness.
Define and steward the enterprise data architecture, including the enterprise data foundation, data contracts, integration patterns, systems of record, data interoperability, and BTID as the firm’s client-data join key and source-of-truth mechanism.
Enable rather than impede technology delivery by embedding architecture and governance early in capability, platform, transformation, and AI product lifecycles and providing pre-approved patterns and pathways wherever practical.
Establish the architectural partnership between Enterprise Technology and the AI Product Group, ensuring that AI products can innovate rapidly while securely and sustainably operating at enterprise scale.
Reduce technology complexity and fragmentation by driving standardization, reuse, platform leverage, application rationalization, and alignment to target-state architecture.
Provide senior architectural leadership to the CDIO and enterprise leadership, translating technology, data, and AI architecture into clear business implications, investment choices, risks, and strategic opportunities.
Build public-company-ready technology, data, and AI governance capabilities, including clear control ownership in partnership with the Risk Organization, documented decision rights, evidence-based compliance, auditability, and disciplined oversight of technology and data risks.
Core Responsibilities
Enterprise Architecture Strategy & Leadership
Define and maintain Baker Tilly’s enterprise technology architecture, principles, standards, and target-state roadmaps.
Establish architecture across major domains including applications, platforms, cloud, integration, APIs, enterprise data and identity.
Create a coherent view of the firm’s current-state and target-state technology landscape and connect architectural roadmaps to business strategy, capability roadmaps, platform investments, and major transformation programs.
Identify opportunities to simplify the technology estate and reduce redundant applications, platforms, integrations, and architectural patterns.
Advise the CDIO and other senior stakeholders on significant architectural choices, technology investments, technical debt, and modernization priorities.
Maintain architecture decision records and mechanisms that make significant enterprise technology decisions transparent and durable.
Enterprise Data Architecture & Governance
Establish and steward the enterprise data architecture in partnership with Business Technology, Operational IT, APG, Security, and business stakeholders.
Define architectural standards for the enterprise data foundation, systems of record, data domains, data contracts, integration, APIs, metadata, lineage, quality, and interoperability.
Establish enterprise principles governing authoritative data sources, ownership, stewardship, quality, classification, access, retention, and lifecycle management.
Define and govern standards supporting BTID as the firm’s client-data source-of-truth and cross-platform join mechanism.
Ensure APG and other product teams can consume enterprise data through governed, scalable, published data contracts.
AI Governance & Responsible AI
Lead the enterprise AI Governance framework in partnership with Security, Risk, Legal, Compliance, APG, and other stakeholders.
Manage a risk-tiered governance model for AI systems and agents, allowing lower-risk experimentation to move quickly through pre-approved paths while applying appropriate scrutiny to higher-risk use cases.
Establish a single enterprise launch-gate approach applicable to internally developed AI, agents, vendor AI capabilities, and other AI-enabled systems.
Define governance standards covering AI risk classification, data use, privacy, security, model evaluation, human oversight, explainability, monitoring, and production readiness.
Partner with APG on evaluation and production criteria: APG develops product-specific evaluation approaches while Enterprise Architecture ratifies enterprise standards and production-gate requirements.
Maintain clear accountability between governance and engineering: governance defines the enterprise bar; product/capability and engineering teams remain accountable for designing and building solutions that meet it.