JT
Product Manager
Javen Technologies
Location not stated
Manager or above
4 weeks ago
- Data Architecture
- AI
- dbt
- Looker
- Tableau
- Power BI
- Google Analytics
- SQL
- ETL
- Databricks
- Java
- Python
4 weeks ago
Location: Remote
Duration: 12 Months
Sample Tasks
- Product Strategy & Vision :
- 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.
- Data Product Development :
- 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.
- Interested Parties Management :
- 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.
- Analytics, Insights & Measurement:
- 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.
- Governance, Compliance & Ethical Data Use :
- 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
Desired Qualifications
- 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.
Product Manager · Javen Technologies