{"id":3046015,"url":"https://alion.io/job/baker-tilly-head-of-data-ai-platform","title":"Head of Data & AI Platform","company":{"id":6269,"name":"Baker Tilly","domain":"bakertilly.com","url":"https://alion.io/company/baker-tilly-us","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":94,"ghost_share":0.011,"stale_share":0.787,"repost_share":0.011,"time_to_fill_p50_days":28,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Jose, United States","Pasadena, United States","Redwood City, United States","Los Angeles, United States","San Francisco, United States","San Diego, United States","Santa Clara, United States","Portland, United States","Irvine, United States","Seattle, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":250000,"max":400000,"currency":"USD","period":"year","gross":null,"usd_annual":400000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Embeddings","optional":false},{"name":"GraphRAG","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Reranking","optional":false},{"name":"Synthetic Data","optional":false}],"status":"live","first_seen_at":"2026-10-21T00:00:00Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-30T23:49:07Z","board_verified":true,"closed_at":null,"days_open":10,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":10},"description":"Overview\nBaker 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.\nBaker 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 orjoin the conversation on LinkedIn, Facebook and Instagram.\nPlease discuss the work location status with your Baker Tilly talent acquisition professional to understand the requirements for an opportunity you are exploring.\nBaker Tilly is an equal opportunity/affirmativeaction 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.\nAny 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.\nJob Description:\nBaker 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.\nThe 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.\nThis 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.\nThe 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.\nResponsibilities\nOwn 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.\nDesign and build ontology, knowledge-graph, and judgment-graph capabilities in partnership with engineering teams across the U.S. and India.\nDefine how practitioner decisions, corrections, outcomes, and system traces are captured, curated, approved, and transformed into reusable intelligence.\nEstablish retrieval semantics across graph- and vector-based approaches, with retrieval and grounding quality measured through evaluation.\nOwn 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.\nEstablish and maintain medallion architecture standards, data contracts, identity-resolution approaches, and data-quality practices for the product data estate.\nBuild and maintain scalable pipelines for structured and unstructured data supporting the firm’s AI products and intelligence capabilities.\nPartner with the enterprise data organization to consume enterprise data through established data contracts, identity standards, client-identity keys, and systems-of-record boundaries.\nOwn data science capabilities and establish the learning loop through which production signals, practitioner feedback, outcomes, and traces improve models, graphs, and retrieval.\nLead corpus engineering programs, including document extraction, ground-truth development, and synthetic data generation, to support the Intelligence Layer.\nEstablish approaches for measuring and improving retrieval quality, model performance, and drift through evaluation-driven practices.\nBuild and lead the data, knowledge-graph, machine-learning, and data science teams across the U.S. and India.\nHire, mentor, and develop senior data engineers, knowledge-graph engineers, machine-learning engineers, and data scientists while establishing a high technical bar across the organization.\nOperate a paired-team model with the India engineering organization, establishing standards and roadmaps across the broader team while enabling strong build and operational ownership in India.\nLead the transition of data and intelligence architecture capabilities from expert partners to Baker Tilly through a structured shadow, pair, lead, and own model.\nTranslate partner-developed architecture into Baker Tilly-owned roadmaps, standards, patterns, runbooks, and internal expertise.\nPartner with the Principal Product Manager for Compass / the Intelligence Platform on product roadmap, priorities, scope, and data requirements.\nPartner with the Chief Architect to co-design the semantic architecture and ensure alignment across the intelligence, agentic, and platform layers.\nCollaborate with the Head of Agent Engineering to ensure Compass workflows and agentic experiences are grounded in high-quality data and retrieval capabilities.\nPartner with Platform & Production Engineering on the infrastructure supporting the Intelligence Layer, including vector and retrieval infrastructure, runtime environments, and production telemetry.\nCollaborate with subject matter experts to ensure the Intelligence Layer accurately captures and represents practitioner knowledge and judgment.\nEngage in special projects and perform other duties as assigned.\nQualifications\nBachelor’s degree in computer science, engineering, or a related field, or equivalent practical experience; advanced degree preferred.\n15 years of experience across data architecture, data engineering, and data platforms, including technical leadership of senior engineering teams.\nDemonstrated experience designing and delivering knowledge systems embedded within products, including ontologies, knowledge graphs, semantic layers, or similar capabilities that directly support applications.\nDeep expertise in knowledge representation, including ontologies, knowledge graphs, GraphRAG, and judgment or decision modeling.\nStrong experience with data architecture and modeling, including enterprise and product data models, identity resolution, and data contracts.\nStrong modern lakehouse experience using Databricks or equivalent technologies, including Delta Lake, medallion architecture, and structured and unstructured data pipelines at scale.\nExperience designing and operating streaming and batch data pipelines and unstructured-document processing capabilities.\nDeep understanding of retrieval architectures, including embeddings, vector search, hybrid graph and vector retrieval, and reranking approaches.\nExperience building retrieval systems in which quality is measured, evaluated, and continuously improved.\nExperience leading or closely partnering with data science and machine-learning teams to establish production learning loops.\nKnowledge of applied data science practices for feedback capture, evaluation-driven improvement, and drift detection and management.\nExperience with corpus engineering, including document extraction, ground-truth development, and synthetic data generation.\nDemonstrated ability to design scalable data and intelligence architectures while remaining hands-on with complex technical challenges.\nExperience leading distributed engineering teams and collaborating effectively across U.S. and India-based organizations.\nExperience transitioning architecture, engineering capabilities, or technical ownership from external partners to internal teams.\nStrong ability to collaborate across Product, Architecture, Engineering, Data, and business subject matter experts to translate product and business needs into scalable technical solutions.\nDemonstrated ability to use AI and agentic development tools as a force multiplier in day-to-day technical and leadership work.\nAbility to operate effectively as a player-coach, balancing hands-on architecture and technical problem-solving with team leadership, talent development, and strategic direction.\nNo certifications or licenses required.\nThe pay range for this position is $250,000 to $400,000. This range represents a good-faith and reasonable estimate of the compensation the firm expects to pay for this position at the time of posting. Actual compensation will depend on a variety of relevant factors, including an applicant’s skills, experience, qualifications, professional certifications, work arrangements, geographic location, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the range, and compensation decisions depend on the facts and circumstances of each case. 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