Head of Data & AI Platform

Baker Tilly Advisory Group; San Jose (CA); Hybrid; USD 180,000 - 280,000; Full time

Job summary

Baker Tilly Advisory Group is seeking a Head of Data & AI Platform to lead the data architecture for the firm's AI products, including data modeling, pipelines, and intelligence foundations. The role oversees a senior team across the U.S.

and India and drives standards for data, knowledge-graph, ML, and governance. The position requires hands-on leadership, deep expertise in data architectures, and a proven ability to translate business needs into scalable AI data products.

Qualifications

• Experience defining data architecture for AI platforms.
• Experience building ontology and knowledge-graph capabilities.
• Proven ability to collaborate with global engineering teams.

Responsibilities

• Own the Baker Tilly Intelligence Layer strategy, architecture, and roadmap for ontology and knowledge graph.
• Design ontology, knowledge-graph, and judgment-graph capabilities with engineering teams in the US and India.
• Define how practitioner decisions, corrections, outcomes, and system traces are captured for reusable intelligence.
• Establish retrieval semantics across graph- and vector-based approaches with evaluation metrics.
• Own end-to-end data layer including data architecture, models, pipelines, and data quality.
• Set medallion architecture standards, data contracts, identity resolution, and data-quality practices for the product data.

Skills

Data Architecture

Knowledge Graph

Tools

Neo4j

Job description

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.

Please discuss the work location status with your Baker Tilly talent acquisition professional to understand the requirements for an opportunity you are exploring.

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.

Any unsolicited resumes submitted through our website or to Baker Tilly Advisory Group, LP, employee e‑mail accounts are considered property of Baker Tilly Advisory Group, LP, and are not subject to payment of agency fees. In order to be an authorized recruitment agency ("search firm") for Baker Tilly Advisory Group, LP, there must be a formal written agreement in place and the agency must be invited, by Baker Tilly's Talent Attraction team, to submit candidates for review via our applicant tracking system.

Job Description:

Baker Tilly is seeking a Head of Data & AI Platform to serve as the firm's principal Data Architect for AI products and lead the team responsible for the data and intelligence foundation that powers the firm's AI product portfolio. This role will own the data layer end to end, including data architecture, data modeling, data engineering, and data science, as well as the intelligence capabilities that make up Compass, the BT Intelligence Platform, including the ontology, knowledge graph, judgment layer, product data estate, and supporting pipelines.

The Head of Data & AI Platform will define how data and practitioner knowledge are structured, connected, and transformed into reusable intelligence for the firm's AI products. This leader will also establish the learning loop through which production signals, practitioner feedback, outcomes, and traces are used to continuously improve models, graphs, and retrieval quality.

This is a hands‑on, player‑coach role responsible for personally shaping the data architecture while building and leading a senior team across the U.S. and India. The role will establish standards and roadmaps for data, knowledge-graph, machine-learning, and data science capabilities and lead the transition of architecture and expertise from external partners to Baker Tilly teams.

The Head of Data & AI Platform will partner closely with Product Management, Architecture, Agent Engineering, Platform & Production Engineering, the enterprise data organization, subject matter experts, and engineering teams in India to ensure the firm's AI products are built on a scalable, high-quality, and well‑governed intelligence foundation.

Responsibilities

• Own the Baker Tilly Intelligence Layer, including the strategy, architecture, and roadmap for the ontology, knowledge graph, and judgment graph that determine what the firm's AI products know and how practitioner judgment is captured and reused.
• Design and build ontology, knowledge-graph, and judgment-graph capabilities in partnership with engineering teams across the U.S. and India.
• Define how practitioner decisions, corrections, outcomes, and system traces are captured, curated, approved, and transformed into reusable intelligence.
• Establish retrieval semantics across graph- and vector-based approaches, with retrieval and grounding quality measured through evaluation.
• Own the data layer end to end, including data architecture, data modeling, product data models, the product data plane, extraction and integration pipelines, and data quality.
• Establish and maintain medallion architecture standards, data contracts, identity-resolution approaches, and data-quality practices for the product d