Senior Manager Data Enablement

Philip Morris International U.S.; Tampa (FL); Hybrid; USD 160,000 - 200,000; Full time

Benefits offered by this job

Competitive base salary

Annual bonus

Medical, dental and vision coverage

401(k) with company match

Generous PTO

Commuter benefits

Inclusive culture

Job summary

Philip Morris International U.S. is looking for a Senior Manager Data Enablement in Tampa, FL. This role involves leading teams to build and optimize data pipelines and products, managing the entire data lifecycle, and enhancing enterprise data solutions.

Qualified candidates will have over 8 years in data engineering, experience in team leadership, and be adept with tools like Power BI, Snowflake, and Databricks. PMI promotes a hybrid work model alongside competitive benefits.

Qualifications

• 8+ years of experience in data engineering, platforms, or analytics.
• 3+ years leading and developing high-performing teams.
• Proven track record building and scaling enterprise data platforms.

Responsibilities

• Own the end-to-end data lifecycle, from ingestion to delivery.
• Lead design of modern data architectures.
• Manage and mentor a team of data engineers.
• Translate business priorities into technical roadmaps.
• Enable self-service analytics and data discoverability.

Skills

Data engineering

Data platforms

Analytics engineering

Stakeholder management

ETL/ELT frameworks

Cloud platforms (Snowflake, Databricks)

Data modeling

BI/analytics tools (Power BI)

Education

Bachelor’s or Master’s degree in Information Systems, Computer Science, Engineering, or a related field

Tools

Power BI

Spark

SQL

Python

Job description

Senior Manager Data 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’

We are seeking an Engineering Manager, Data Services & Enablement to lead teams building and operating data pipelines, data products, and self-service capabilities, while owning the end-to-end data lifecycle. This role drives the development and optimization of the enterprise data platform, delivering scalable, governed, high-quality data solutions that accelerate time-to-insight, improve reliability, and enable AI/ML and analytics through efficient, self-service access to analytics-ready data.

• Own the end-to-end data lifecycle, including ingestion (batch, streaming, APIs), transformation (ETL/ELT), modeling, storage, integration, and delivery of data products.
• Lead design and implementation of modern data architectures (lakehouse, data mesh, data-as-a-product) to support scalable, composable ecosystems.
• Manage, mentor, and scale a team of data engineers; establish best practices, reusable frameworks, and CI/CD standards.
• Translate business priorities into technical roadmaps in partnership with product managers, architects, and cross-functional stakeholders.
• Enable self-service analytics and data discoverability through tools like Power BI, semantic layers, and data catalogs.
• Embed governance, data quality, monitoring, and observability into engineering workflows to reduce defects, latency, and operational inefficiencies.
• Drive platform performance, scalability, reliability, and cost optimization with clear SLAs and monitoring standards.
• Partner with vendors and evaluate technologies aligned to enterprise data strategy and architecture.

Who We’re Looking For

• Legally authorized to work in the U.S.
• Commutable distance to Tampa, FL.
• 8+ years of experience in data engineering, data platforms, or analytics engineering, including 3+ years leading and developing high-performing teams.
• Bachelor’s or Master’s degree in Information Systems, Computer Science, Engineering, or a related field.
• Proven track record building and scaling enterprise data platforms, pipelines, and data products in complex environments.
• Strong expertise in data ingestion patterns, ETL/ELT frameworks, distributed processing (Spark, SQL, Python), and cloud platforms (Snowflake, Databricks, or similar).
• Deep understanding of data modeling (dimensional, semantic, domain-driven) and modern architecture approaches (data mesh, data fabric, API-driven design), along with experience in BI/analytics tools (e.g., Power BI), data catalog/metadata solutions, and CI/CD for data pipelines.
• Experience in CPG, retail, or other highly data-driven industries, with exposure to CRM, ERP, consumer, or supply chain data ecosystems, and familiarity with data governance frameworks, regulatory requirements, and data product management principles.
• Strong stakeholder management skills with the ability to translate business needs into technical solutions and measurable outcomes.

Annual Base Salary Range

$160,000 - $200,000

What We Offer

• Competitive base salary, annual bonus (applicable based on level of position), medical, dental and vision coverage, 401(k) with generous company match, wellness benefits, commuter benefits, pet insurance, generous PTO, and more.
• Hybrid work model promoting flexibility.
• Opportunities for growth and skill development.
• Inclusive, diverse culture where contributions are respected.

PMI is an Equal Opportunity Employer.