AdTechTalent
Data Science1 month agoHybrid

Epsilon

Senior Data Product Manager

data product managementdata operationsdata validationSQLPostgresDatabricksdata warehousesdata pipelinesrelational databasesdata governancedata privacydocumentationdata accuracy

Key details

Salary

$68K – $126K

Employment type

Full-time

Seniority

Senior

Years experience

3-5

Location

Chicago, United States

Full job description

Senior Professional, Data Product Management role focused on operational tasks related to Epsilon’s data products. Primary contact for data questions about availability, meaning, structure, and refresh cadence. Responsibilities include validating data behavior, maintaining documentation, supporting data operations, and collaborating with Data Engineering and Client Teams. Requires 2-4 years experience with data analytics, operations, or reporting, proficiency in SQL, and familiarity with data warehouses and pipelines. Interest in data governance and privacy preferred. Bachelor's degree or equivalent required. Location: Chicago, Illinois. Salary range: $67,800 - $126,000 annually.

What you'll do

  • Serve as the first point of contact for day-to-day data questions
  • Validate that data is present, current, and behaving as expected across platforms
  • Check data refresh schedules, pipelines, and outputs
  • Implement established data checks, processes, and workflows
  • Raise unexpected behavior, missing data, or unclear definitions to Senior Analysts
  • Maintain and update dataset documentation
  • Ensure documentation clearly defines field meanings, refresh cadence, data location, and known limitations
  • Update documentation as data sources evolve or new questions emerge
  • Support internal training and enablement efforts
  • Work with Data Engineering and Data Warehouse teams to confirm data availability and structure
  • Partner with Senior Analysts and Client Teams to support data validation and operational needs
  • Communicate clearly when data is behaving as expected versus when escalation is required
  • Build deep familiarity with datasets, tables, and refresh schedules
  • Take ownership of answering recurring data questions or data sources
  • Improve speed, accuracy, and consistency in responding to data requests
  • Develop toward more complex validation and support work under guidance

Requirements

  • 2-4 years of experience working with data in a professional environment, including analytics, data operations, reporting, or similar roles
  • Experience querying and working with data using SQL (or equivalent) to answer questions, validate results, and perform basic analysis
  • Exposure to backend data systems such as data warehouses, data pipelines, or relational databases
  • Understanding of data structure and downstream impacts based on upstream changes
  • Experience receiving routine or ad-hoc data questions and independently determining how to answer them
  • Familiarity with environments where data accuracy, correctness, and reliability are important
  • Interest in learning about data governance, data privacy, and working with sensitive or pseudonymized data
  • Bachelor’s degree or equivalent practical experience

Tech stack

SQLPostgresDatabricksdata warehousesdata pipelinesrelational databases

Benefits

Flexible time off (FTO)15 paid holidaysPaid sick timeParental/new child leaveChildcare & elder care assistanceAdoption assistanceComprehensive health coverage401(k)Tuition assistanceCommuter benefitsProfessional developmentEmployee recognitionCharitable donation matchingHealth coaching and counseling

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