Senior Product Manager, Athlete Identity Data & Analytics
DICK'S Sporting Goods
Amazon RedshiftBigQueryCloudETLSQLTableau
Product Manager – Data
Dynatron Software, Inc.
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $125,000 - $135,000 per year
Job Level
Mid-LevelSenior
Tech Stack
Amazon RedshiftBigQueryETLSQLTableau
About the role
- Own the data platform roadmap.
- Prioritize and manage initiatives for ingestion, transformation, categorization, storage, and delivery of data to downstream systems and products.
- Manage vendor relationships.
- Evaluate, negotiate, and oversee external data partnerships, ensuring quality, cost-effectiveness, and compliance.
- Lead internal data initiatives and guide the Data team in building categorization logic, enrichment pipelines, and insights layers to support reporting, analytics, and product functionality.
- Define and document product requirements for data feeds, APIs, schemas, and reporting layers that will power customer facing applications.
- Partner with Engineering and Data teams to ensure robust architecture, scalability, and high quality data availability across products.
- Drive insight generation and collaborate with Data Science and Analytics teams to surface KPIs, benchmarks, and predictive capabilities that improve client outcomes.
- Champion data quality and governance by setting standards for accuracy, consistency, and transparency across datasets.
- Translate business needs into data capabilities, ensuring customer requirements are met with clear, actionable use cases.
- Support go-to-market readiness by enabling Marketing, Sales, and Client Success with the right narratives, use cases, and enablement tools around data driven features.
- Evaluate new data opportunities and identify emerging data sources, licensing models, and enrichment services that can expand product capabilities.
Requirements
- 3–7 years of Product Management experience, with a focus on data products, platforms, or analytics solutions
- Proven ability to work with data teams on pipelines, ETL processes, APIs, and data architecture concepts
- Experience managing external vendor relationships, licensing agreements, or third-party data integrations
- Hands-on experience delivering products leveraging complex datasets (e.g., categorization, forecasting, benchmarking, optimization)
- Strong analytical skills, including the ability to interpret data models, dashboards, and usage metrics to inform product strategy
- Familiarity with SQL, data warehousing (e.g., Snowflake, Redshift, BigQuery), or BI tools (e.g., Tableau, Looker, Power BI) preferred
- Background in automotive fixed ops, transportation, logistics, or similar industries strongly preferred
- Demonstrated ability to partner with Engineering and Data Science teams to deliver scalable, high-impact products
- Excellent communication and stakeholder management skills, with the ability to explain technical data concepts in business terms
- Bachelor’s degree in Computer Science, Engineering, Data Analytics, or related field preferred.
- Pragmatic Institute Certification or similar product training a plus
Benefits
- Excellent benefits including health, dental, and vision insurance
- Stock options
- Work from home and flexible scheduling depending on job requirements
- Professional development opportunities
- 9 paid holidays
- 15 days PTO
- Home office setup support for remote employees
- A welcome “swag bag” with branded clothing as an official welcome to the team.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Product Managementdata productsanalytics solutionsETL processesdata architecturedata pipelinesdata categorizationdata forecastingdata optimizationdata modeling
Soft skills
analytical skillscommunication skillsstakeholder managementcollaborationleadershipproblem-solvingnegotiationdata governancetranslating business needsinsight generation
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in EngineeringBachelor’s degree in Data AnalyticsPragmatic Institute Certification
