Technical Product Manager – Finance Data & Analytics

Job Location: Indianapolis, IN — Hybrid (4 days/week on-site)

Job Type: 12-month contract with high potential for extension

Job Pay: 75-85 hourly

We are seeking a Technical Product Manager to lead execution and enablement of Finance Data & Analytics initiatives. This role sits at the intersection of Finance, Data Engineering, and Analytics and is responsible for ensuring finance data products are delivered, usable, and aligned to business outcomes. The ideal candidate combines strong finance data fluency with product execution discipline — someone comfortable discussing ETL architecture with engineers while also understanding value realization and business needs.

• Own execution of finance data products from source-to-analytics.
• Translate finance business requirements into clear technical specifications.
• Maintain roadmaps, backlogs, and delivery milestones across multiple work streams.
• Define KPIs for data quality, availability, and business adoption.

• Partner with engineering teams managing extraction from enterprise and non-enterprise source systems.
• Oversee ETL pipelines and ingestion into enterprise data lake environments.
• Collaborate on orchestration and transformation processes.
• Ensure semantic layers and downstream analytics models support finance reporting needs.

• Drive analytics transformation initiatives within Finance.
• Support automation uses cases, including reconciliation, review, validation, and testing automation.
• Ensure finance stakeholders can effectively consume data products through Power BI, dashboards, and reporting models.
• Improve manual reporting processes through scalable data solutions.

• Facilitate alignment across Finance, Data Engineering, Architecture, and Analytics teams.
• Identify and manage technical dependencies and delivery risks.
• Provide structured updates and executive-ready materials to senior stakeholders.
• Support Agile ceremonies, sprint planning, and PI planning.

• 5+ years of experience in Technical Product Management, Data Product Management, or Finance Data Delivery.
• Strong understanding of ETL pipelines, data lakes, and analytics enablement.
• Ability to translate between finance business language and technical data architecture.
• Excellent stakeholder management and communication skills.

• Experience supporting enterprise modernization or transformation programs.
• Exposure to enterprise cloud data platforms such as Microsoft Fabric, AWS, or Azure.
• Background in consulting or large enterprise transformation programs.
• Experience in regulated finance environments, including SOX or audit-sensitive reporting.

• SQL querying and data analysis
• Python for data validation and scripting
• Data quality frameworks and validation
• Root cause analysis for data issues
• Roadmap and backlog management

• Comfortable discussing enterprise data structures and finance process flows.
• Able to challenge technical assumptions while remaining focused on business outcomes.
• Structured in execution while adaptable in complex enterprise environments.
• Brings clarity to ambiguity and momentum to delivery.

Brooksource is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, physical…