Data Product Manager at The Evolvers Group

Job description

Constant learning and evolution is a way of life at Evolvers. We are always looking for passionate individuals that are ready to evolve in tandem with our team, defining and re-defining each facet of their career life at Evolvers. Our professionals are rewarded for their contributions to our clients, our culture and the overall quest for excellence. We view each of our professionals as a catalyst for growth, for Evolvers, our clients, and for the industry. If you would like to pursue a fulfilling career at Evolvers, do get in touch with us at resumes @ evolversgroup.com Back Title: Data Product Manager Location: Remote Contract Apply Here Jobs Description Title: Data Product Manager Location: Remote Duration: 1 year We are looking for a Data Product Manager for a contract position with our client, who will be responsible for supporting significant system changes to turn the organization’s data into scalable, high value products—such as curated datasets, analytics platforms, and data infrastructure—supporting the Whole Family approach. This role will lead efforts across data engineering, data science, and business strategy that help mature data practices and teams and drive organizational efforts to shift to new data lakes and data curation platforms from current legacy main frame systems. The Data Product Manager will lead the strategy, roadmap, and execution of data efforts within the client's enabling better decision making, operational efficiency, and intelligent product experiences. Partnering closely with data engineering, data science, analytics, and business policy and administration, the Data Product Manager will facilitate and help drive the path towards trusted, reusable, governed, and consumable data assets across the enterprise. This role requires strong analytical skills, deep understanding of data systems, and a strong aptitude in translating between technical teams and business understanding, throughout the product lifecycle. Responsibilities • Define the vision and roadmap for data products (e.g., data platforms, analytics tools, ML infrastructure). • Align data product strategy with organizational priorities and long-term data architecture, in partnership with the Enterprise Architecture team and various interested parties. • 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. • Define success metrics and measure product performance and adoption. • Uphold data governance, privacy, and ethical AI standards. • Provide knowledge transfer. 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. • 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.

Requirements

Must-haves

Title: Data Product Manager
Location: Remote
Jobs Description
Title: Data Product Manager
Location: Remote
Duration: 1 year
Define the vision and roadmap for data products (e.g., data platforms, analytics tools, ML infrastructure).
Align data product strategy with organizational priorities and long-term data architecture, in partnership with the Enterprise Architecture team and various interested parties.
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.
Define success metrics and measure product performance and adoption.
Uphold data governance, privacy, and ethical AI standards.
Provide knowledge transfer.
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.
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.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

mlaisqljavapython

Platform: careers-html
Effort: medium

Benefits

Benefits detected in the listing.

Vision