Senior Manager Portfolio Engineering

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

Benefits offered by this job

Medical, dental and vision coverage

401k with company match

Generous PTO

Pet insurance

Wellness benefits

Job summary

Philip Morris International U.S. is seeking a Senior Manager Portfolio Engineering in Tampa, FL. You will lead the data product portfolio, ensuring seamless engineering delivery aligned with business outcomes.

With over 8 years of experience in data engineering and strong leadership attributes, you will optimize delivery performance and drive continuous improvement. The position includes a competitive salary and a hybrid work model, emphasizing an inclusive and innovative culture.

Qualifications

• 8+ years of experience in data engineering, analytics engineering, or data platform delivery.
• 3+ years of leadership experience managing or influencing engineering teams.
• Strong understanding of data governance, metadata, data quality.

Responsibilities

• Translate product portfolio priorities into integrated engineering delivery plans.
• Manage cross-product dependencies and release coordination.
• Oversee the end-to-end data engineering lifecycle.

Skills

Data engineering

Analytics engineering

Data platform delivery

Leadership

ETL/ELT pipelines

APIs

Data modeling

Scalable data architectures

Cloud ecosystems

Education

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

Tools

Snowflake

Databricks

CI/CD practices

Job description

Overview

Senior Manager Portfolio Engineering – Tampa, FL. Be a part of a revolutionary change! At Philip Morris International (PMI), we’ve chosen to do something incredible. We’re transforming our business and building our future on delivering a smoke-free future. With big change comes big opportunity to dream up and deliver better, brighter solutions and advance your career in different directions.

Your day-to-day

The Senior Manager, Portfolio Engineering plays a critical role in enabling the successful execution of the enterprise data product portfolio, serving as the bridge between product strategy and engineering delivery. You will lead portfolio-level engineering execution across multiple data products, ensuring alignment, scalability, and high-quality delivery through strong engineering practices and agile execution. You will drive coordination across teams, optimize delivery performance, and embed governance, reliability, and continuous improvement into engineering workflows.

Responsibilities

• Translate product portfolio priorities into integrated engineering delivery plans aligned to business outcomes.
• Manage cross-product dependencies, sequencing, and release coordination to optimize delivery and time-to-value.
• Establish and carry out portfolio-level engineering governance, including standards, design reviews, and release readiness.
• Oversee the end-to-end data engineering lifecycle (ingestion, transformation, modeling, and delivery).
• Drive adoption of modern data architecture patterns (data products, APIs, lakehouse, data mesh where applicable).
• Partner with Product, Architecture, and platform teams to ensure alignment on roadmaps, backlogs, and engineering standards.
• Standardize agile ways of working and improve delivery through KPI tracking (e.g., cycle time, reliability, deployment frequency).
• Embed data quality, observability, governance, and compliance controls into engineering workflows.
• Remove delivery bottlenecks and continuously improve scalability, reliability, and performance of data pipelines and platforms.
• Lead, mentor, and develop engineering talent while fostering a culture of accountability and engineering excellence.

Qualifications

• Legally authorized to work in the U.S.
• Commutable distance to Tampa, FL.
• 8+ years of experience in data engineering, analytics engineering, or data platform delivery; including 3+ years of leadership experience managing or influencing engineering teams in complex environments.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Data, or a related field.
• Strong expertise in ETL/ELT pipelines, APIs, data modeling, and scalable data architectures.
• Hands-on experience with modern data platforms (e.g., Snowflake, Databricks, cloud ecosystems).
• Proven ability to manage cross-team dependencies, release cycles, and portfolio-level delivery.
• Experience working in agile environments with CI/CD practices in data engineering.
• Strong understanding of data governance, metadata, data quality, and compliance integration.

Annual Base Salary Range: $160,000 - $200,000

What We Offer

• We offer a competitive base salary, annual bonus (applicable based on level of position), great medical, dental and vision coverage, 401k with a generous company match, wellness benefits, commuter benefits, pet insurance, generous PTO, and more.
• Smart Work, a hybrid model of working that promotes flexibility in the workplace.
• Opportunity to define your future and ours with support to take risks, experiment, and explore.
• Inclusive, diverse culture where everyone’s contribution is respected; collaborate with top professionals and feel like you belong.
• Opportunities to develop skills with a global business and significant scale.
• Contribute to delivering the promise to society: improving the lives of millions of smokers.

PMI is an Equal Opportunity Employer. PMI is headquartered in Stamford, Conn., and its U.S. affiliates have more than 3,000 employees. PMI has been an independent company from Altria and Philip Morris USA since 2008. PMI’s affiliates entered the U.S. market after acquiring Swedish Match in late 2022. PMI is focused on delivering a smoke-free future. For more information, please visit www.pmi.com/us and www.pmiscience.com.

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