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About the Role

Baker Tilly is seeking a Managing Director of Enterprise Data & Analytics to lead the firm's enterprise data engineering, data platform, master data management, semantic modeling, reporting, and analytics capabilities. This leader will transform enterprise data into a trusted, reusable, and well-governed asset that enables business decisions, scalable AI, operational efficiency, and differentiated client and practitioner experiences. This role will own the enterprise data architecture and implementation roadmap, ensuring consistent standards across data pipelines, data products, semantic models, master data, and analytics solutions. The Managing Director will oversee both Data Engineering and Enterprise Data Analytics, unifying platform engineering and enterprise insight delivery under one accountable leader.

Responsibilities

Lead the strategy, architecture, engineering, and operations of the enterprise Databricks lakehouse, ensuring scalability, reliability, security, performance, and cost efficiency.
Oversee enterprise data engineering, integration, and DataOps, including ingestion, transformation, orchestration, testing, CI/CD, observability, and operational support for enterprise data pipelines.
Own enterprise data architecture, establishing data domains, integration patterns, authoritative sources, data contracts, metadata, lineage, and reusable enterprise data products.
Develop and maintain a governed semantic layer with standardized business definitions, certified KPIs, conformed dimensions, and consistent metrics to support enterprise reporting, self-service analytics, and AI applications.
Lead the implementation and operation of enterprise master data management (MDM), including entity resolution, golden records, reference data, stewardship workflows, and master-data synchronization.
Oversee enterprise reporting, dashboards, and analytics solutions, partnering with business leaders to deliver trusted executive, operational, financial, workforce, client, and service-line insights.
Implement and enforce enterprise data governance, privacy, security, and protection standards, including access controls, data quality, retention, lineage, and auditable processes.
Partner with Security, Risk, Legal, Privacy, Compliance, and Finance to establish evidence-ready data and reporting controls supporting regulatory requirements, audit readiness, and IPO/public-company expectations.
Collaborate with AI and Technology teams to provide governed data products, data contracts, and scalable data services that enable AI, generative AI, and agentic applications.
Establish measurable service levels and operational standards for data availability, freshness, accuracy, recovery, and platform reliability while continuously improving data quality and consumption.
Lead and develop multidisciplinary Data Engineering and Enterprise Data Analytics teams, fostering accountability, technical excellence, collaboration, and consistent delivery practices.
Manage enterprise data investments, vendor partnerships, platform consumption, capacity planning, and technology roadmaps while aligning priorities with business outcomes and strategic objectives.

Requirements

Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field required.
15+ years in data engineering, data platforms, enterprise data architecture, analytics, or technology leadership, including significant enterprise-wide people and budget leadership.
Proven ownership of a production Databricks lakehouse and medallion architecture, including scalable engineering, governance, observability, performance, and FinOps.
Demonstrated application of site reliability engineering practices to enterprise data platforms.
Deep experience with enterprise semantic modeling, governed business metrics, modern BI/reporting, and enterprise data products.
Demonstrated implementation and operational ownership of enterprise MDM, entity resolution, golden records, and business stewardship.
Experience integrating ERP, CRM, HR, finance, and other systems of record in a complex multi-business organization.
Credibility in IPO-ready or publicly traded company environments, including data/reporting control design, ITGC/SOX-relevant processes, audit evidence, financial-data lineage, change controls, and collaboration with Finance and auditors.
Experience operationalizing data privacy and protection standards with Legal, Risk, Security, and Privacy stakeholders.
Experience translating approved data governance, privacy, and security policies into automated, testable platform controls.
Experience enabling AI/ML and generative AI programs with governed enterprise data, reusable contracts, high-quality datasets, and production service levels.
Demonstrated delivery of enterprise data services consumed by production generative AI and agentic applications.
Experience partnering with AI product teams while retaining accountability for the enterprise data foundation.
Strong record of influencing executive stakeholders and leading complex operating-model and data modernization transformations.
Professional services, financial services, or other regulated and data-intensive industry experience preferred.

Skills

Databricks lakehouse
Medallion architecture
DataOps
Enterprise data architecture
Semantic modeling
Master Data Management (MDM)
Business intelligence (BI)
Reporting
Data governance
Data privacy
Data security
AI/ML
Generative AI

Location

Remote
Hybrid
Onsite

Work Type

Full-time

Experience Level

15+ years in data engineering, data platforms, enterprise data architecture, analytics, or technology leadership
Significant enterprise-wide people and budget leadership

Education Level

Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field

Salary/Compensations

$350,000-$550,000

Benefits

Comprehensive compensation and benefits package

About the Company

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.
Baker Tilly Advisory Group, LP and Baker Tilly US, LLP (Baker Tilly) provide professional services through an alternative practice structure.
Baker Tilly US, LLP is a licensed independent CPA firm that provides attest services.
Baker Tilly Advisory Group, LP and its subsidiary entities provide tax and business advisory services.
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.

Equal Opportunity

Baker Tilly is an equal opportunity/affirmative action employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, gender identity, sexual orientation, or any other legally protected basis, in accordance with applicable federal, state or local law.