CCS Global Tech is a rapidly growing Information Technology company with a diverse portfolio of technology products and services and a large network of industry partnerships. With over 22 years of being a successful business with a global talent pool and presence, CCS is a certified Microsoft Gold Partner and specializes in delivering expert Microsoft based solutions for technical and business needs. We have been recognized by Inc. 500 Magazine as one of the fastest growing small companies in the Unites States.

we are a Tier 1 vendor for the City and County of San Francisco for Cloud Services, Staffing Services and Training Services. For this multi-year opportunity with a diverse set of needs to address, we are currently focusing on establishing partnerships with individuals as well as companies who can help us enhance our overall service portfolio, cut lead times, and ultimately help us deliver successfully. We currently hold sizable Government accounts in the San Francisco bay area including City and County of San Francisco, San Mateo County, and Santa Clara County.

We take great pride in our global reach and local influence. Your experience alongside our highly skilled and talented internal team who guide you along the way, offers key insights into what helps you stand out in a competitive job market.

If you are a partner company, please submit resumes with contact information of your own W2 Consultants only. Submitted consultants are expected to have excellent communication skills.

Roles/Responsibilities:

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

Desirable Skills:

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.

Data Product Manager

Key skills

About this role