Data Product Manager

Job not on LinkedIn

🔥 0 minutes ago

❄️ Minnesota – Remote

❄️ Minnesota – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

✅ Product Manager

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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ePATHUSA, Inc.

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2005

🤖 Artificial Intelligence

🔒 Cybersecurity

Cloud Computing • Artificial Intelligence • Cybersecurity

ePATHUSA, Inc. is an IT services firm that specializes in delivering tailored digital transformation solutions, including cloud computing, custom software development, and data analytics. With over 18 years of experience, ePATHUSA helps both government and commercial clients modernize their IT infrastructures, enhance data security, and implement innovative AI-driven technologies. Their comprehensive service offerings also include IT staffing and workforce solutions aimed at optimizing business processes and operational efficiency.

📋 Description

• Define the vision and roadmap for data products such as data platforms, analytics tools, and ML infrastructure • Investigate the data landscape, pain points, and business needs to identify high-value opportunities • Align data product strategy with organizational priorities and long-term data architecture in partnership with Enterprise Architecture and interested parties • Connect data capabilities to business outcomes and organize efforts to achieve those outcomes • Align engineering, analytics, and business teams; use metrics to guide prioritization and product evolution • Lead the end-to-end lifecycle of data products, including 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, documentation, reliability, and scalability standards are met • Translate business logic into data transformations, metadata, and domain-specific rules • 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

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

🏖️ Benefits

• Paid Sick Time • Insurance for Medical, Dental, Vision and Life Available • 401(k) including Employer Match • HSA • Short-term & Long-term Disability Available