Head of Data & AI Platform

Baker Tilly US

. Own the Baker Tilly Intelligence Layer, including strategy, architecture, and roadmap for ontology, knowledge graph, and judgment graph capabilities .

Posted 10/21/2026full-timeUnited StatesLead💰 $250,000 - $400,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data architecture, knowledge representation, and scalable data pipelines, with a strong focus on building and leading data science and engineering teams. Proficient in designing and implementing knowledge systems, ensuring high-quality retrieval and continuous improvement through evaluation-driven practices.

Highest-signal resume keywords

Data ArchitectureKnowledge Graph DevelopmentData Engineering LeadershipMachine Learning CollaborationCorpus Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingOntology DesignKnowledge RepresentationStreaming Data PipelinesBatch Data PipelinesRetrieval ArchitectureGraphRAGDelta LakeMedallion ArchitectureSynthetic Data Generation

Soft Skills

Team LeadershipMentoringCollaborationPlayer-Coach ApproachCross-Functional Communication

Tools & Technologies

DatabricksAI Development ToolsDocument Extraction ToolsEvaluation FrameworksIdentity Resolution Systems

Industry Keywords

Data ContractsIdentity StandardsEnterprise DataKnowledge SystemsRetrieval Quality

About the role

Key responsibilities & impact

Own the Baker Tilly Intelligence Layer, including strategy, architecture, and roadmap for ontology, knowledge graph, and judgment graph capabilities
Design and build ontology, knowledge-graph, and judgment-graph capabilities with engineering teams across the U.S. and India
Define how practitioner decisions, corrections, outcomes, and system traces become reusable intelligence
Establish retrieval semantics and measure retrieval and grounding quality through evaluation
Own data architecture, modeling, product data models, data plane, extraction and integration pipelines, and data quality
Establish medallion architecture standards, data contracts, identity-resolution approaches, and data-quality practices
Build scalable pipelines for structured and unstructured data supporting AI products
Partner with the enterprise data organization on enterprise data contracts, identity standards, client-identity keys, and systems-of-record boundaries
Own data science capabilities and establish learning loops to improve models, graphs, and retrieval
Lead corpus engineering programs, including document extraction, ground-truth development, and synthetic data generation
Measure and improve retrieval quality, model performance, and drift through evaluation-driven practices
Build and lead data, knowledge-graph, machine-learning, and data science teams across the U.S. and India
Hire, mentor, and develop senior technical staff
Operate a paired-team model with the India engineering organization
Lead transition of data and intelligence architecture capabilities from external partners to Baker Tilly
Translate partner-developed architecture into internal roadmaps, standards, patterns, runbooks, and expertise
Partner with product, architecture, agent engineering, platform and production engineering, enterprise data, subject matter experts, and India engineering teams
Engage in special projects and perform other duties as assigned

Requirements

What you’ll need

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
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
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
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
Ability to design scalable data and intelligence architectures while remaining hands-on with complex technical challenges
Experience leading distributed engineering teams and collaborating across U.S. and India-based organizations
Experience transitioning architecture, engineering capabilities, or technical ownership from external partners to internal teams
Ability to collaborate across Product, Architecture, Engineering, Data, and business subject matter experts
Ability to use AI and agentic development tools in technical and leadership work
Ability to operate effectively as a player-coach
No certifications or licenses required

Benefits

Comp & perks

Compensation and benefits package for eligible employees