Pay
In line with similar jobs
$160K–$200K against $154K–$225K, the middle half of what similar US postings state.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Reads like a Data Leadership role: running a data team.
Tampa, Florida, United States
Open 4 months, first seen by us 141 days agoStrong 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:Read the full posting
Legally authorized to work in the US
Own the end-to-end data lifecycle, from ingestion to delivery of data products
Design modern data architectures such as lakehouse and data mesh
Manage, mentor, and grow a team of data engineers
Enable self-service analytics through Power BI, semantic layers and data catalogs
Drive platform performance, reliability and cost optimization against SLAs
Own the end-to-end data lifecycle, including ingestion (batch, streaming, APIs)
Lead design and implementation of modern data architectures (lakehouse, data mesh, data-as-a-product)
Manage, mentor, and scale a team of data engineers
Enable self-service analytics and data discoverability through tools like Power BI, semantic layers, and data catalogs.
Drive platform performance, scalability, reliability, and cost optimization with clear SLAs and monitoring standards.
- 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.
From the employer’s posting.
Open 4 monthsWe first saw this posting 141 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
In line with similar jobs
$160K–$200K against $154K–$225K, the middle half of what similar US postings state.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Day 141
Up longer than most. Similar jobs usually come down between day 7 and day 53.
Well past Philip Morris International U.S.’s usual: its jobs come down by about day 56.
From 7,896 similar postings that came down, and 9 of Philip Morris International U.S.’s. Coming down is not always a hire.
11 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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.
- 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.
- 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.
Complete your application on join.pmicareers.com. The employer’s form will show what is required.
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We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
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:
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, incredible wellness benefits, commuter benefits, pet insurance, generous PTO, and much more!
We have implemented Smart Work, a hybrid model of working that promotes flexibility in the workplace.
Seize the freedom to define your future and ours. We’ll empower you to take risks, experiment and explore.
Be part of an inclusive, diverse culture where everyone’s contribution is respected; Collaborate with some of the world’s best people and feel like you belong.
Pursue your ambitions and develop your skills with a global business – our staggering size and scale provides endless opportunities to progress.
Take pride in delivering our promise to society: To improve 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 entirely separate company from Altria and Philip Morris USA since 2008. PMI’s affiliates first entered the U.S. market following the company’s acquisition of Swedish Match in late 2022. Philip Morris International and its U.S. affiliates are working to deliver a smoke-free future. Since 2008, PMI has invested $12.5 billion globally to develop, scientifically substantiate and commercialize innovative smoke-free products for adults who would otherwise continue to smoke with the goal of transitioning legal-age consumers who smoke to better alternatives. In 2022, PMI acquired Swedish Match – a leader in oral nicotine delivery – creating a global smoke-free champion led by the IQOS and ZYN brands. The U.S. Food and Drug Administration has authorized versions of PMI’s IQOS electronically heated tobacco devices and Swedish Match’s General snus as Modified Risk Tobacco Products and renewal applications for these products are presently pending before the FDA. For more information, please visit www.pmi.com/us and www.pmiscience.com.
#PMIUS #LI-LC1
Selected passages from the saved posting. Check the full description for conditions and exceptions.
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:
Tampa, Florida, United States
- 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, incredible wellness benefits, commuter benefits, pet insurance, generous PTO, and much more! - We have implemented Smart Work, a hybrid model of working that promotes flexibility in the workplace. - Seize the freedom to define your future and ours. We’ll empower you to take risks, experiment and explore.
Who we’re looking for: - Legally authorized to work in the U.S. - Commutable distance to Tampa, FL.