Executive Director, Data, Machine Learning & AI

What is the Henry Schein ONE Way? Simply put, we care for each other. We treat each other with respect, kindness, gratitude, and awe. We welcome different viewpoints and encourage creativity. Henry Schein ONE believes that everyone has something amazing and unique to contribute, and we wouldn’t be Global Industry leaders today without all the individual contributions that bring our team together. Our culture strives to provide a place where passion, individuality, autonomy, purpose and diversity succeeds. We strive to let you Schein because when you Schein so do we! If you are still not sold on how great it is to be a Team Schein Member, then perhaps you need to hear about our Henry Schein Cares programs, team engagements, lunches, and extra wellness benefits. Or that our leadership encourages you to maintain a healthy work-life balance. There are so many perks too numerous to list. If you are intrigued, apply now, our Talent Acquisition team is excited to meet you! This role is responsible for reliably delivering the company’s initiatives in Big Data, Data Science, Machine Learning, and the safe, effective use of LLMs. Success requires close collaboration across teams, along with clear, kind, and consistent communication. The role will offer frequent opportunities to mentor and develop others. As the company embarks on a significant, multi-year, cross-disciplinary data investment, fast and dependable execution on these high-priority initiatives is essential. What You Will Do Set enterprise data & AI strategy in coordination with Leadership that aligns to company and product strategies; define a 2–3 year roadmap for data platforms, analytics, ML/AI capabilities (including GenAI), and business value realization. Deliver on the data platform (data lake/lakehouse, warehouses, streaming) evolution; ensure scalability, reliability, cost efficiency, and performance across our cloud environments. Architecture will be owned by the Architecture team, so a close working relationship is necessary. Establish and chair data & AI governance (policies, standards, data contracts, model governance), balancing innovation with risk, privacy, and regulatory compliance (e.g., HIPAA, GDPR/CCPA) Operationalize MLOps/LLMOps: implement reproducible model lifecycle management (experimentation, approval, deployment, monitoring, drift/evals, rollback), feature stores, CI/CD, and automated observability. Drive GenAI adoption responsibly: identify high value use cases, build/reuse LLM platforms (RAG, vector search), set prompt/eval standards, safeguard IP/PHI, and manage content/usage policies and human in the loop controls. Much of this workstream will be in tight coordination with the office of our CISO. Deliver measurable business outcomes via data products and ML/AI solutions; prioritize the portfolio, define KPIs/OKRs with business owners, and track ROI, adoption, risk, and quality. Lead a multidisciplinary organization (data engineering, platform, analytics, data science/ML, data governance, AI product) with clear operating mechanisms, talent strategy, and succession plans. Partner with Security, Legal, Compliance, and Risk to implement privacy by design, model risk management, third party risk, and audit readiness; ensure encryption/IAM, data retention, and lineage are enforced. Advance data quality: institute golden sources, data stewardship, data quality SLAs, and remediation workflows across domains. Embed architecture standards and patterns: event-driven data, streaming (e.g., Kafka/Kinesis), APIs, data mesh/data product patterns, and zero ETL/ELT best practices. Manage vendor and partner ecosystem: evaluate/contract platforms and model providers, negotiate commercial terms, and ensure interoperability and exit options. Own financials for the function: plan budgets, forecast run/transform costs, optimize cloud spend (FinOps), and reinvest savings into innovation. Champion change management: communicate vision and progress to executives and broader teams; create communities of practice and playbooks to scale adoption. Ensure resilience and continuity: architect for HA/DR, data protection, backup/restore, and incident response for data and AI systems. Represent the company externally where appropriate (industry forums, academia, standards bodies) to attract talent and shape best practices. What You Will Have Bachelor's or Master's Degree in a related field preferred 15 years of related experience with 7+ years in leadership/team management Data Architecture: Lake/lakehouse and warehouse design; dimensional/semantic modeling; data product architecture; data mesh and data contracts. Cloud Data Platforms: Deep experience with one or more of AWS (S3, Glue, EMR, Redshift, Lake Formation), Azure (ADLS, Synapse, Fabric), Snowflake, and Databricks; multicloud patterns and connectivity. Streaming & RealTime: Event-driven design, CDC, and stream processing (e.g., Kafka/Kinesis, Spark Structured Streaming, Flink); lowlatency serving layers. Data Engineering Excellence: ELT/ETL frameworks, orchestration (Airflow/Databricks Workflows), metadata/lineage (OpenLineage), partitioning, performance tuning, and cost optimization. Analytics & BI: Metric stores/semantic layers, governed selfservice, embedded analytics, and A/B testing/experimentation frameworks. Machine Learning Fundamentals: Feature engineering, model development for classical ML and deep learning, offline/online feature stores, model packaging, and reproducible experimentation. MLOps/Model Governance: CI/CD for ML, approval gates, automated evaluations, drift detection, bias/fairness testing, explainability (e.g., SHAP), model catalog/registry, and monitoring/alerting. Generative AI & LLMs: Model selection (open/hosted), prompt engineering, RAG architectures, vector databases, policy/guardrails, redteaming, hallucination mitigation, and LLM evaluation metrics. AI Safety, Privacy & Compliance: Privacybydesign, PHI/PII handling, HIPAA and global privacy regulations (GDPR/CCPA), dataset provenance, copyright/IP controls, and secure isolation for training/inference. Security for Data & AI: IAM/leastprivilege, key management and encryption (at rest/in transit), secrets management, network segmentation, and secrets scanning; secure supply chain for data/ML artifacts. Data Governance & Quality: Stewardship operating model, profiling and rules, DQ SLAs, remediation workflows, golden sources/MDM, and business glossary/catalog (e.g., DataHub/Collibra/Purview). AI/ML Product Management: Usecase discovery, value hypothesis and ROI modeling, stakeholder alignment, roadmapping/prioritization, and change management for adoption. SRE/Platform Reliability: SLOs/SLIs for data and ML services, capacity planning, HA/DR patterns, cost/perf telemetry, and incident management. Integration & APIs: Contract first API design, data services for operational systems, and secure interoperability with SaaS/ISVs. Financial & Commercial Acumen: TCO modeling, FinOps for data/AI workloads, license/subscription governance, and scalable chargeback/showback. Leadership & Talent: Organization design, hiring and coaching for data/ML/AI roles, vendor/partner management, and building communities of practice. Communication & Influence: Executive storytelling with data, risk/benefit framing, and the ability to align diverse stakeholders on standards and tradeoffs. What you get as a Henry Schein One Employee A great place to work with fantastic people. A career in the healthcare technology industry, with the ability to grow and realize your full potential. Competitive compensation. Excellent benefits package! Medical, Dental and Vision Coverage, 401K Plan with Company Match, Paid Time Off (PTO), Paid Parental Leave, Short Term Disability, Work Life Assistance Program, Health Savings and Flexible Spending Accounts, Education Benefits, Worldwide Scholarship Program, Volunteer Opportunities, and more. *Benefits may vary by location or status. Henry Schein One is an Equal Employment Opportunity Employer and does not discriminate against applicants or employees on the basis of race, color, religion, creed, national origin, ancestry, disability that can be reasonably accommodated without undue hardship, sex, sexual orientation, gender identity, age, citizenship, marital or veteran status, or any other legally protected status. Fraud Alert Henry Schein has recently been made aware of multiple scams where unauthorized individuals are using Henry Schein's name and logo to solicit potential job seekers for employment. Please be advised that Henry Schein's official U.S. website is www.henryschein.com. Any other format is not genuine. Any jobs posted by Henry Schein or its recruiters on the internet may be accessed through Henry Schein's on-line "career opportunities" portal through this official website. Applicants who wish to seek employment with Henry Schein are advised to verify the job posting through this portal. No money transfers, payments of any kind, or credit card numbers, will EVER be requested from applicants by Henry Schein or any recruiters on its behalf, at any point in the recruitment process. Over 90 years ago Henry Schein borrowed $500 to start a corner pharmacy in Queens, New York, nearly 30 miles from Melville, New York, where our corporate headquarters resides today. In the depths of the Great Depression, Henry and his wife Esther made a bold bet on their future all while living their values of helping health happen and caring for their team and the community they served. Their belief paid off far beyond what Henry and Esther might have dared to imagine in 1932. Henry Schein is now a Fortune 500 Company powered by a network of people and technology to be the world’s leading provider of health care products, services and solutions to office-based dental and medical practitioners. Since our founding we have stayed true to Henry and Esther’s values which has allowed us to evolve, expand, and grow our Company. Now serving more than 1 million customers in 33 countries and territories, the Company's network of trusted advisors provides more than 1 million customers globally with more than 300 valued solutions that help improve operational success and clinical outcomes. We invite you to join approximately 25,000 Team Schein Members, who are critical to our success and are at the core of our Team Schein Values as our founders would have wanted. We live those values by ensuring that our culture focuses on the wellness of our team, which we accomplish by providing a safe space for individuals to develop and contribute authentically, with opportunities to give back to society and the communities where we live and work. No matter the role you are seeking, we encourage you to come be a part of a team that makes the world a healthier place. Henry Schein embraces diversity and is committed to providing equal opportunity to employees and applicants. If you are unable or limited in your ability to complete the application process, including the use or access of www.henryschein.com/careers, as a result of a physical or mental impairment, you can request reasonable accommodations. Please e-mail the appropriate email address below with the type of accommodation you are requesting. Please include your first and last name, phone number, position for which you are interested in applying and geographic location in your request. US Candidates: [email protected] UK and Ireland Candidates: [email protected] Australia and New Zealand Candidates: [email protected] Malaysia Candidates: [email protected] Italy Candidates: [email protected] It is important to us to offer different types of work arrangements. Please see the types we offer below: Work From Home: Work is performed directly from the TSM's home office. Hybrid: Time is scheduled between working from a TSM home office and at a company facility, as required. Onsite: Work is performed exclusively at a company facility. Field: Position requires traveling to different locations within a specific geographic territory, as assigned. Apply tot his job