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Added 23 mins ago
Senior Legal Counsel – Director, Privacy, Digital Products & AI Governance
Credit Acceptance Corporation
Remote, United States
Expertise in artificial intelligence products, responsible data use, AI governance, risk assessments, inventories, policies, and impact analyses.
Added 27 mins ago
A
Cnc Machine Operator
Aerotek
Colonial Heights, VA
- $22.5 to $24.69 USD / hour
We're seeking experienced Machine Operators to support production operations in a clean, state-of-the-art manufacturing facility. In this role, you'll operate automated packaging equipment,…
Added 29 mins ago
Data Engineering Senior Manager
Wells Fargo
IRVING, TX
…data capabilities, enterprise data consumption, analytics, artificial intelligence, and risk management. Shared Data Services delivers foundational capabilities including semantic data…
Added 30 mins ago
A
Principal Software Engineering
AT&T
Dallas, TX
- $174,100 to $261,100 USD / year
…enterprise-scale solutions, and drive measurable outcomes through Artificial Intelligence, automation, modern platforms, and data-driven decision…
Added 30 mins ago
Sales Engineer - Automation & Electrification (AR, OK, LA, TX)
Bosch
Dallas, TX
Learning and Development: ** We want you to reach your fullest potential, for both yourself and for Bosch Rexroth. That’s why we actively promote growth and development.
Added 30 mins ago
A
Maintenance Worker
Aerotek
Dallas, TX
- $28 to $35 USD / hour
…including minor plumbing, carpentry, painting, plastering, machine servicing, electrical repairs or installations, and vehicle…
Added 30 mins ago
A
Maintenance Worker
Aerotek
Dallas, TX
- $28 to $35 USD / hour
…including minor plumbing, carpentry, painting, plastering, machine servicing, electrical repairs or installations, and vehicle…
Added 30 mins ago
A
AI Software Development Architect
AT&T
Dallas, TX
- $189,200 to $283,800 USD / year
…engineering teams build, deliver, and scale solutions using artificial…
Added 31 mins ago
Senior Data Developer, Assistant Vice President
Citibank, N.A.
United States
Participate in MLOps initiatives to streamline the machine learning lifecycle, including continuous integration, continuous delivery, and continuous training, emphasizing efficiency gains…
Added 32 mins ago
EG
Senior Python Developer
Eliassen Group
Austin, TX
- $74 to $78 USD / hour
Nice to have: experience with NER, NLP, modeling, machine learning, or agent frameworks such as LangGraph.
Added 1 hour ago
A
Entry-Level Production Line Associate
Aerotek
Saint Peters, MO
- $18.97 to $20.39 USD / hour
We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications,…
Added 1 hour ago
EG
Senior Python Developer
Eliassen Group
Jefferson City, MO
- $74 to $78 USD / hour
Nice to have: experience with NER, NLP, modeling, machine learning, or agent frameworks such as LangGraph.
Added 1 hour ago
Artificial Intelligence Software Engineer
PNC Bank NA
PA · Strongsville, OH · Birmingham, AL · Dallas, TX
…opportunity to contribute to the company’s success. As a(n) Artificial Intelligence Engineer within PNC's technology organization, you will be based in Pittsburgh, PA, Dallas, TX,…
Added 1 hour ago
Research Scientist- Robotics AI
Bosch Group
Sunnyvale, CA
…for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as…
Added 1 hour ago
AI Technical Product Manager, Dean's Office
Harvard University
Boston, MA
The AI Technical Product Manager bridges the gap between artificial intelligence capabilities and real-world product applications, combining deep technical understanding with strategic…
Added 1 hour ago
Data and ML Engineer
Booz Allen Hamilton_United States
McLean, VA
Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data…
Added 1 hour ago
Palantir Foundry Developer, Senior
Booz Allen Hamilton_United States
Lexington Park, MD
Knowledge of artificial intelligence, machine learning, data lakes, graph-based data modeling, DevSecOps practices, and Foundry AI capabilities
Added 1 hour ago
Platform and Data Engineer
Booz Allen Hamilton_United States
Honolulu, HI
Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data…
Added 1 hour ago
Staff Software Engineer, Google Ads, Full Stack
Google
New York, NY
…large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a…
Added 1 hour ago
A
Project Manager
Actalent
Sidney, OH
- $100,000 to $120,000 USD / year
…environment. The position requires 510 years of experience in machine building, industrial equipment, or manufacturing, with strong project management expertise across schedule, scope,…
Added 1 hour ago
L
Senior Director, Product Management
Lowes
Charlotte, NC
- $184,300 to $350,200 USD / year
…third-party data visualization tools to build a culture of artificial intelligence (machine learning) with innovative technologies that improve data…
Added 1 hour ago
UG
Associate Software Engineer
UnitedHealth Group
Minneapolis, MN
- $60,200 to $107,400 USD / year
Design, develop, and deploy Artificial Intelligence (AI) solutions in Python, including services that integrate Large Language Models (LLMs) and machine learning (ML) models into production…
Added 1 hour ago
UG
Lead AI/ML Engineer - Office Based - Eden Prairie, MN
UnitedHealth Group
Eden Prairie, MN
- $145,500 to $249,500 USD / year
…the design, development, and deployment of enterprise-grade machine learning models and artificial intelligence solutions. In this role, you will lead engineering initiatives, construct…
Added 1 hour ago
Senior Research Scientist- Robotics AI
Bosch Group
Sunnyvale, CA
…for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as…
Added 2 hours ago
JH
Embedded Systems Design Engineer
Johns Hopkins Applied Physics Laboratory
Laurel, MD
- $100,000 USD / year
Apply Machine Learning (ML) and Artificial Intelligence (AI) algorithms for EW applications.

Closed listing

Data Platform and Agentic Governance Lead, HR Technology

Austin, TX, United States

This opening has closed.

The original listing is kept below for reference.

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Job details

Experience: 12+ years of experience in data platform, data architecture, data governance, or data engineering
Posting language: English
Posted: Nov 6, 2026

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Original job description

Archived listing. The details below describe a past opening.

Summary:

HR Tech Data & Insights builds the governed data foundation that Meta's People organization runs on - the certified datasets, semantic models, and data products that People Ops, People@, Payroll, business partners, and AI agents rely on to answer questions and make decisions. Meta is converging its enterprise data onto the Databricks Lakehouse, and people data is one of the most consequential and most constrained workloads in that program. We are hiring a Data Platform & Governance Lead to own the technical layer of our People Data strategy: the Databricks architecture, the semantic layer, the governance standards, and the paved road every other team builds on. This is a senior technical ownership and influence role - the ideal candidate pairs deep Databricks and Spark expertise with demonstrated governance experience that sensitive people data demands, and can present a technical strategy to executive stakeholders and diagnose query performance issues with equal depth.

Required Skills:

Data Platform and Agentic Governance Lead, HR Technology Responsibilities:

Own the technical layer of the People Operations Data strategy. Set and enforce the platform, semantic, and governance standards that every HR Tech and People@ data domain is built on in the Databricks Lakehouse
Provide technical oversight of the Databricks implementation for people data - ingestion patterns from Workday, HR service operations, and vendor feeds
Delta modeling and medallion layering
Spark declarative pipelines
and materialization strategy. You set the patterns
you do not have to write every pipeline
Own governance in Unity Catalog. Design catalog and schema structure, table ACLs, row filters, and column masks so sensitive people data is protected by policy as code in the data layer rather than by convention
Own the semantic layer & Knowledge graph. Define certified datasets, actively develop knowledge graph nodes, metric definitions, and governed data products so that Immigration, payroll and ops numbers mean one thing across People Ops - and so analysts, dashboards, and AI agents all resolve to the same source of truth
Set and enforce data governance standards: metadata and documentation, glossary and metric coverage, data ownership and pipeline SLAs, schema and naming conventions, certification tiers, and access controls
Manage Agent & Data platform integrity: drive ontology-driven extraction, semantic retrieval, and governed metadata that AI assistants can trust
Own data quality, process monitoring and observability - monitoring, tiered alerting, lineage and impact analysis, data-quality expectations, and automated remediation. Treat lineage as the compliance record we can show an auditor
Represent the strategy with senior leaders. Frame technical tradeoffs in business terms in forums with Director and VP stakeholders across People Ops, Enterprise Engineering, Legal, and Privacy - driving decisions and building peer-level credibility
Lead the migration off the legacy stack. Sequence consolidation off Hive/Presto and bespoke pipelines onto governed Databricks data products, without breaking consumers mid-flight
Drive prioritization and execution across partner teams outside your direct reporting line, translating business outcomes into a sequenced technical roadmap
Own a live, cross-domain view of delivery - milestones, owners, dependencies, status - and connect it to an evidence-backed narrative of business impact for People Ops stakeholders
Make AI on people ops data trustworthy. Ensure the accuracy and effectiveness of AI agents and analytics tools built on people data, including evaluation datasets, accuracy measurement, and sustained quality benchmarks - with identity propagated end to end so agents run as the human
Build capability and raise the bar. Mentor analytics and engineering partners on platform and governance fundamentals, lead design reviews and architecture decision records, and partner closely with the core data engineering and Databricks platform teams
Exercise conservative judgment with sensitive and privileged people data - including access-control and privilege-level, privacy, and data-classification considerations - and identify risk in others' designs

Minimum Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience
12+ years of experience in data platform, data architecture, data governance, or data engineering
Deep hands-on experience and Databricks certifications - deep hands-on depth across Unity Catalog, Delta Lake, Spark declarative pipelines, and Databricks SQL
Apache Spark expertise, including performance diagnosis and optimization in production, including performance diagnosis and optimization in production
Experience owning a data platform or data governance domain end to end at enterprise scale - you set the standards others followed
Hands-on experience with modern data stacks: distributed warehouses and lakehouse architectures, pipeline orchestration and reliability, semantic/metrics layers, BI and self-service platforms, and data quality tooling
Demonstrated experience defining a semantic or metrics layer and driving adoption of certified definitions across an organization
Proven experience designing fine-grained data access controls (table ACLs, row-level filters, column masking) for confidential or regulated data
Advanced SQL proficiency and working Python experience sufficient to build and debug data pipelines
Experience influencing senior leadership on technical strategy, including presenting to and driving decisions with executive stakeholders
Experience driving execution across cross-functional teams outside of direct reporting lines
Experience defining measurable milestones and communicating delivery progress and business impact to non-technical stakeholders
Experience leading a platform migration or consolidation with live stakeholders and no acceptable downtime
Demonstrated judgment handling highly confidential, privileged, or regulated data

Preferred Qualifications:

Experience with HR/people data domains and their systems of record - Workday, Immigration, payroll, benefits, equity, HR case management - or a comparable regulated environment with audit and controls requirements
Experience integrating enterprise third-party systems (HCM/payroll, ERP, vendor data feeds)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience with dbt, Airflow, or similar transformation and orchestration tooling
Demonstrated track record mentoring and growing technical talent across experience levels
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience with Delta Sharing or equivalent zero-copy sharing to avoid ETL and file handoffs with third parties
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Familiarity with Meta's internal data stack (Hive, Presto, real-time analytics tools, Configerator, workflow orchestration tools) and the work of migrating off it
Experience building the governed data and evaluation foundations that AI or LLM-based tools depend on, including accuracy measurement
Experience with FinOps and cost attribution for cloud data platforms
Experience with streaming and near-real-time ingestion (Kafka, Flink, Structured Streaming, CDC) and knowing when not to use it
Experience with config-driven data onboarding platforms and infrastructure-as-code patterns
Experience operating amid ambiguity and in-flight roadmaps, converting uncertainty into decision frameworks

Public Compensation:

$151,000/year to $213,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

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