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About the Role

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.

Responsibilities

Own the Baker Tilly Intelligence Layer, including the strategy, architecture, and roadmap for the ontology, knowledge graph, and judgment graph.
Design and build ontology, knowledge-graph, and judgment-graph capabilities in partnership with engineering teams.
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.
Build and maintain scalable pipelines for structured and unstructured data supporting the firm’s AI products and intelligence capabilities.
Partner with the enterprise data organization to consume enterprise data through established data contracts, identity standards, client-identity keys, and systems-of-record boundaries.
Own data science capabilities and establish the learning loop through which production signals, practitioner feedback, outcomes, and traces improve models, graphs, and retrieval.
Lead corpus engineering programs, including document extraction, ground-truth development, and synthetic data generation.
Establish approaches for measuring and improving retrieval quality, model performance, and drift through evaluation-driven practices.
Build and lead the data, knowledge-graph, machine-learning, and data science teams across the U.S. and India.
Hire, mentor, and develop senior data engineers, knowledge-graph engineers, machine-learning engineers, and data scientists.
Operate a paired-team model with the India engineering organization, establishing standards and roadmaps across the broader team.
Lead the transition of data and intelligence architecture capabilities from expert partners to Baker Tilly.
Translate partner-developed architecture into Baker Tilly-owned roadmaps, standards, patterns, runbooks, and internal expertise.
Partner with the Principal Product Manager for Compass / the Intelligence Platform on product roadmap, priorities, scope, and data requirements.
Partner with the Chief Architect to co-design the semantic architecture and ensure alignment across the intelligence, agentic, and platform layers.
Collaborate with the Head of Agent Engineering to ensure Compass workflows and agentic experiences are grounded in high-quality data and retrieval capabilities.
Partner with Platform & Production Engineering on the infrastructure supporting the Intelligence Layer.
Collaborate with subject matter experts to ensure the Intelligence Layer accurately captures and represents practitioner knowledge and judgment.
Engage in special projects and perform other duties as assigned.

Requirements

Bachelor’s degree in computer science, engineering, or a related field, or equivalent practical experience; advanced degree preferred.
15 years of experience across data architecture, data engineering, and data platforms, including technical leadership of senior engineering teams.
Demonstrated experience designing and delivering knowledge systems embedded within products, including ontologies, knowledge graphs, semantic layers, or similar capabilities.
Deep expertise in knowledge representation, including ontologies, knowledge graphs, GraphRAG, and judgment or decision modeling.
Strong experience with data architecture and modeling, including enterprise and product data models, identity resolution, and data contracts.
Strong modern lakehouse experience using Databricks or equivalent technologies, including Delta Lake, medallion architecture, and structured and unstructured data pipelines at scale.
Experience designing and operating streaming and batch data pipelines and unstructured-document processing capabilities.
Deep understanding of retrieval architectures, including embeddings, vector search, hybrid graph and vector retrieval, and reranking approaches.
Experience building retrieval systems in which quality is measured, evaluated, and continuously improved.
Experience leading or closely partnering with data science and machine-learning teams to establish production learning loops.
Knowledge of applied data science practices for feedback capture, evaluation-driven improvement, and drift detection and management.
Experience with corpus engineering, including document extraction, ground-truth development, and synthetic data generation.
Demonstrated ability to design scalable data and intelligence architectures while remaining hands-on with complex technical challenges.
Experience leading distributed engineering teams and collaborating effectively across U.S. and India-based organizations.
Experience transitioning architecture, engineering capabilities, or technical ownership from external partners to internal teams.
Strong ability to collaborate across Product, Architecture, Engineering, Data, and business subject matter experts.
Demonstrated ability to use AI and agentic development tools as a force multiplier.
Ability to operate effectively as a player-coach, balancing hands-on architecture and technical problem-solving with team leadership, talent development, and strategic direction.
No certifications or licenses required.

Skills

Data Architecture
Data Modeling
Data Engineering
Data Science
Ontology
Knowledge Graph
Judgment Layer
GraphRAG
Medallion Architecture
Data Contracts
Identity Resolution
Databricks
Delta Lake
Streaming Data Pipelines
Batch Data Pipelines
Unstructured Data Processing
Embeddings
Vector Search
Hybrid Graph and Vector Retrieval
Reranking
Machine Learning
Corpus Engineering
Document Extraction
Ground-truth Development
Synthetic Data Generation
AI
Agentic Development Tools

Location

U.S.
India

Work Type

Remote
Hybrid
Onsite

Experience Level

Senior
Technical Leadership

Education Level

Bachelor’s degree in computer science, engineering, or a related field
Advanced degree preferred

Salary/Compensations

$250,000 to $400,000

Benefits

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.