Director Data Services & Enablement
Job in
Tampa, Hillsborough County, Florida, 33646, USA
Listed on 2026-08-29
Listing for:
FinOps Weekly
Full Time
position Listed on 2026-08-29
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
150k+25/06/2026
Full-time
Hybrid Favorite Access Job##
Job Description Director Data Services & Enablement – Tampa, FL Be a part of a revolutionary change! At Philip Morris International (PMI), we’ve chosen to do something incredible. We’re totally transforming our business and building our future on one clear purpose – to deliver a smoke-free future. With huge change, comes huge opportunity. So, if you join us, you’ll enjoy the freedom to dream up and deliver better, brighter solutions and the space to move your career forward in endlessly different directions.
Our success depends on people who are committed to our purpose and have an appetite for progress. Your ‘day To Day’ As the Director, Data Services & Enablement , you own the strategy, delivery, and run of the enterprise data platform, and will lead the reliable, secure, and cost-effective operation of our enterprise data foundation—ensuring trusted, high-quality data is consistently available across the organization.
Own the operational health of the Enterprise Data Platform (EDP), including ingestion, pipelines, orchestration, and platform services supporting analytics and data products. Establish strong operational rhythms (monitoring, health checks, incident management, runbooks, and release coordination) and drive continuous improvement in reliability and MTTR. Operationalize data quality, governance, and compliance practices in partnership with IT, Security, and Compliance teams. Run transparent intake, prioritization, and execution processes for data operations requests, ensuring predictable and well-communicated delivery.
Optimize platform performance and cost, manage vendor and partner SLAs, and drive automation to improve throughput and reduce manual effort. Define and execute a 12–24 month roadmap for data services and platform capabilities aligned to enterprise priorities, regulatory commitments, and business outcomes—enabling but not owning data product prioritization. Lead the design, build, and run of the enterprise data platform across AWS (S3, IAM, networking, Lake Formation, Glue), Snowflake (warehouses, RBAC, governance, sharing), and Databricks (work spaces, Unity Catalog, jobs, MLflow).
Drive convergence of warehouse, lakehouse, and AI workloads on a single governed platform while setting and enforcing architecture and engineering standards. Run the platform to enterprise-grade SLAs. Drive observability, incident management, Fin Ops, and continuous cost-to-serve reduction across Snowflake and Databricks. Build, lead, and develop a multi-disciplinary team of Data Architecture, Data Engineering, and Technical Enablement disciplines to shape the operating model and cultivate a culture of excellence focused on collaboration, innovation, accountability, continuous learning, and engineering rigor.
Who We’re Looking For Legally authorized to work in the U.S. Commutable distance to Tampa, FL. Bachelor’s or Master’s degree in Information Systems, Computer Science, Engineering, or a related field. 12+ years of experience in data architecture, data engineering, or platform operations, with 5+ years leading and developing teams. Proven experience running production-grade data environments with SLAs, incident and problem management, and operational controls.
Proficient design and implementation skills for development of real time data platform using Kafka and deep understanding of cloud data architectures on AWS, Snowflake, and Databricks. Strong understanding of modern data platforms, ELT/ETL orchestration, and data observability and monitoring patterns. A demonstrable track record of running productized data services with SLAs in a regulated enterprise (financial services, healthcare, insurance, public sector, or similar).
Exposure to embedded analytics, customer-facing data products, or monetized data offerings with track record of Fin Ops maturity on Snowflake and Databricks at multi-million-dollar annual run-rates. Annual Base Salary Range: $220,000 – $275,000
What We Offer We offer a competitive base salary, annual bonus (applicable based…
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