Data Product Manager

Hollstadt Consulting is a management and technology consulting firm dedicated to placing professionals at engagements where they will excel. When you work with us, you'll work with a refreshingly real company led and staffed by seasoned experts who are also down-to-earth, good people. We're committed to treating you with respect and helping you achieve your career aspirations.

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Since 1990, Hollstadt has been a trusted partner to more than 150 domestic and global companies and has successfully completed over 3,000 projects. Our continued growth has created challenging and rewarding opportunities for accomplished IT and Business Consultants. Hollstadt Consulting is an equal opportunity employer including disability/veteran.

Role:
Data Product Manager

Contract:

1 year

Location:

The work is expected to be done remotely or hybrid at the offices in St. Paul MN. The resource must be available for work during regular business hours of 7:00 a.m.

- 6:00 p.m. Central Time, Monday through Friday.

Pay Rate: $85/hour W2

• Desired 4–7 years of 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.
• Ability to translate complex technical concepts into business-friendly language.
• Strong communication, prioritization, and stakeholder management skills.
• Experience with analytics tools (dbt, Looker, Tableau, Power BI, Google Analytics).
• Understanding of large organizational data sharing constraints and data sharing agreements.
• Experience with SQL, data lakes, data and data pipelines / ETL.
• Significant experience with Databricks.
• Familiarity with Java and Python.
• Background in building internal platforms or developer facing products.
• Experience in implementing modern data architectures at an organization.
• Experience in a highly regulated industry performing statistical analysis and reporting.

• oDefine the vision and roadmap for data products (e.g., data platforms, analytics tools, ML infrastructure).
• oIdentify high value opportunities by investigating the data landscape, pain points, and business needs.
• oAlign data product strategy with organizational priorities and long-term data architecture, in partnership with the Enterprise Architecture team and various interested parties.
• oConnect data capabilities to business outcomes and organize efforts to achieve the business outcomes.
• oAlign engineering, analytics, and business teams. Uses metrics to guide prioritization and product evolution.

• oLead the end-to-end lifecycle of data products: requirements, design, development, testing, launch, and iteration.
• oPartner with data engineers and data scientists to build scalable pipelines, models, and data services. Ensure data quality, governance, lineage, and documentation standards are met.
• oTranslate business logic into data transformations, metadata, and domain specific rules.
  
  Skilled in or adept at data architecture, modeling, and pipelines.
• oEnsures data products are reliable, governed, and scalable.

• oServe as the primary liaison between technical teams and business partners across the organization.
• oCommunicate product value, roadmap, and use cases to leadership and cross-functional teams.
• oPrioritize incoming requests and balance competing needs across teams.

• oDefine success metrics and measure product performance and adoption.
• oEnsure data products deliver actionable insights and support decision making.
• oPartner with analytics teams to design dashboards, KPIs, and reporting frameworks.

• oUphold data governance, privacy, and ethical AI standards.
• oEnsure compliance with regulatory and organizational data policies.
• oAdvocate for responsible data use across the human services space served by and supported through the company

Hollstadt offers…