Senior Director, Commercial AI Product Owner
Pfizer
AWSAzureCloud
Product Manager – Data & Analytics
FreedomPay
full-time
Posted on:
Location Type: Hybrid
Location: Philadelphia • Nevada, Pennsylvania • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
Cloud
About the role
- Define and communicate the vision and roadmap for data products, aligning with organizational goals and market trends.
- Collaborate with stakeholders (business, engineering, analytics, and customers) to identify business needs and document them into clear product requirements.
- Oversee the end-to-end development of data products, from ideation and prototyping to launch and iteration.
- Ensure data products meet high standards for quality, reliability, and compliance.
- Analyze and interpret data to inform product decisions, measure product performance, and drive continuous improvement.
- Work closely with data engineers, data scientists, designers, and business stakeholders to deliver high-quality data products.
Requirements
- Bachelor’s degree in a technical or business field (e.g., Computer Science, Engineering, Statistics, Business Analytics) or equivalent experience.
- 5+ years of experience in product management, with a focus on data products, analytics platforms, or data-driven applications.
- Strong understanding of data science, data engineering, and analytics concepts.
- DBA experience preferred.
- Experience with data governance, data quality, and compliance frameworks.
- Experience implementing BI & Analytic tooling within and organization.
- Experience and insight into the Data industry, working with major players in the Data Presentment/Analytics tooling space.
- Proven ability to manage the product lifecycle, from ideation to launch and iteration.
- Experience building a product roadmap and executing on delivery.
- Excellent analytical, problem-solving, and decision-making skills.
- Strong communication, negotiation, and interpersonal skills; able to work effectively with both technical and non-technical teams.
- Familiarity with modern data platforms (e.g., Snowflake, Sigma), BI tools, and cloud infrastructure.
Benefits
- medical, prescription, dental and vision coverage
- Life Insurance
- Retirement Plans with company match
- commission sharing plan
- flexible hybrid working environment
- great parental and other leave programs
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data product managementdata analysisdata engineeringdata sciencedata governancedata qualitybusiness intelligenceanalyticsproduct lifecycle managementcompliance frameworks
Soft skills
analytical skillsproblem-solvingdecision-makingcommunication skillsnegotiation skillsinterpersonal skills
