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Data Product Manager

ePATHUSA, Inc.

Role overview

Qualifications

  • Experience in Data management, data analytics, data engineering, or related fields.
  • Demonstrated product leadership skills and ability to work in ambiguity.
  • Strong understanding of data systems: pipelines, warehousing, modeling, metadata, governance.
  • Proficiency collaborating with data Architecture, data engineering and data science teams.

Responsibilities

  • Define the vision and roadmap for data products (e.g., data platforms, analytics tools, ML infrastructure).
  • Identify high value opportunities by investigating the data landscape, pain points, and business needs.
  • Lead the end-to-end lifecycle of data products: requirements, design, development, testing, launch, and iteration.
  • Serve as the primary liaison between technical teams at Minnesota IT Services (MNIT) and business partners across DCYF.

Key facts

Hard skills

Other skills

  • Communication
  • Prioritization

About the company

ePATHUSA, Inc. logo

ePATHUSA, Inc.

IT Services & IT Consulting

ePATHUSA was founded in 2005 as a global software consulting and outsourcing company of the highest standard. Always reliable, we provide strategic counsel and managed services to federal, state, commercial, and nonprofit entities. The always accelerating change in technology challenges companions to adapt - requiring constant modernization to maintain relevance. We proudly help organizations do just that. Our diverse, expertly skilled team assesses and implements cutting-edge technologies most beneficial to achieve client’s needs and goals.

Company details

Company typeTPE
IndustryIT Services & IT Consulting
Company size11 - 50

Links

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Job description

This is a remote position.

Seeking a Data Program Manager who will be responsible for supporting significant system changes to turn data into scalable, high value products such as curated datasets, analytics platforms, and data infrastructure as well as:
  • Define the vision and roadmap for data products (e.g., data platforms, analytics tools, ML infrastructure).
  • Identify high value opportunities by investigating the data landscape, pain points, and business needs.
  • Align data product strategy with organizational priorities and long-term data architecture, in partnership with the Enterprise Architecture team and various interested parties.
  • Connect data capabilities to business outcomes and organize efforts to achieve the business outcomes.
  • Align engineering, analytics, and business teams. Uses metrics to guide prioritization and product evolution.
  • Lead the end-to-end lifecycle of data products: requirements, design, development, testing, launch, and iteration.
  • Partner with data engineers and data scientists to build scalable pipelines, models, and data services. Ensure data quality, governance, lineage, and documentation standards are met.
  • Translate business logic into data transformations, metadata, and domain specific rules.  Skilled in or adept at data architecture, modeling, and pipelines.
  • Ensures data products are reliable, governed, and scalable.
  • Serve as the primary liaison between technical teams at Minnesota IT Services (MNIT) and business partners across DCYF.
  • Communicate product value, roadmap, and use cases to leadership and cross-functional teams.
  • Prioritize incoming requests and balance competing needs across teams.
  • Define success metrics and measure product performance and adoption.
  • Ensure data products deliver actionable insights and support decision making.
  • Partner with analytics teams to design dashboards, KPIs, and reporting frameworks.
  • Uphold data governance, privacy, and ethical AI standards.
  • Ensure compliance with regulatory and organizational data policies.
  • Advocate for responsible data use across the human services space served by and supported through DCYF and MNIT DCYF. 
  • ​Provide knowledge transfer


Requirements

Skills
 Required/Preferred
 Years
 Candidate Experience
Experience in Data management, data analytics, data engineering, or related fields.
5+
Demonstrated product leadership skills and ability to work in ambiguity.
5+
Strong understanding of data systems: pipelines, warehousing, modeling, metadata, governance.
5+
Proficiency collaborating with data Architecture, data engineering and data science teams.
5+
Ability to translate complex technical concepts into business-friendly language.
5+
Strong communication, prioritization, and stakeholder management skills.
5+
Experience with analytics tools (dbt, Looker, Tableau, Power BI, Google Analytics).
5+
Understanding of large organizational data sharing constraints and data sharing agreements.
5+
Experience with SQL, data lakes, data and data pipelines / ETL.
5+
Significant experience with Databricks.
5+
Familiarity with Java and Python.
5+
Background in building internal platforms or developer facing products.
5+
Experience in implementing modern data architectures at an organization.
5+
Experience in a highly regulated industry performing statistical analysis and reporting.
5+


Benefits

Benefit Package includes: 
Paid Sick Time
Insurance for Medical, Dental, Vision and Life Available
401(k) including Employer Match 
HSA, Short-term & Long-term Disability Available 
We are an EEO/Veterans/Disabled employer

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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