Data Product Manager

Data Product Manager

Onsite in either Los Angeles, CA or San Diego, CA or Mountain View, CA

Our client is seeking a Data Product Manager to advance a multi-year roadmap modernizing forecasting, financial reporting, and AI-driven insights. The role requires product management and data analytics skills, strong SQL, and experience with enterprise data models and BI tools. The contractor will drive clarity across cross-functional efforts, translate finance needs into actionable product artifacts, and support delivery of data governance, semantic layers, and NLQ capabilities. The work focuses on user research, scaling forecasting transformation, and enabling self-serve, AI-first reporting for internal finance users.

Due to client requirements, applicants must be willing and able to work on a W2 basis. For our W2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $80.00 to $90.00/hr. W2

Responsibilities:

• Partner with product and engineering teams to define and document requirements for data governance, semantic layer development, and natural language querying.
• Conduct user research to map internal finance user journeys, identify pain points, and translate insights into roadmap priorities and product direction.
• Support delivery execution for cross-functional projects, including scaling forecasting transformation and AI-powered reporting capabilities.
• Translate finance business needs into product artifacts such as problem statements, user stories, and success metrics for engineering and design teams.
• Drive adoption of self-serve and AI-first capabilities by shaping intuitive experiences grounded in standardized finance data.
• Collaborate with Finance Ops, Data Engineering, and AI/ML partners to ensure consistent understanding of data assets and intended use.

Experience Requirements:

• 3 to 5 years of experience in product management, data analytics, or related roles.
• Solid SQL proficiency and experience working with enterprise data models.
• Experience with dashboarding or reporting tools such as Tableau, Power BI, or Looker.
• Exceptional verbal communication skills to drive alignment across technical and non-technical audiences.
• Proven ability to support cross-functional teams in ambiguous or fast-moving environments.
• A customer-first mindset with a bias toward execution.
• Familiarity with finance data concepts or experience supporting Finance and FP&A teams (preferred).
• Experience with AI/ML-driven analytics and semantic layer architecture (preferred).
• Exposure to enterprise data platforms such as Snowflake, Superglue, Databricks, or Qlik (preferred).