<p>We are seeking a strategic and technically savvy Data Product Manager to lead the definition, roadmap, and delivery of data products that support financial planning, operations, and reporting. This role will work closely with business stakeholders, data engineers, and analytics teams to deliver scalable, secure, and innovative data solutions.</p><p><br></p><p>Key Responsibilities:</p><ul><li>Own the end-to-end product lifecycle for finance-focused data products</li><li>Translate business needs into clear, actionable product requirements</li><li>Collaborate with data engineering teams to guide ingestion, transformation, and modeling of financial and operational datasets</li><li>Lead the design and delivery of dashboards, reporting tools, and analytics products using Tableau, Power BI, or similar platforms</li><li>Conduct stakeholder demos, roadmap reviews, and backlog grooming aligned with Agile practices</li><li>Build strong relationships with technical teams and business stakeholders to ensure alignment and value delivery</li></ul><p><br></p>

<p>Basic Qualifications:</p><ul><li>7+ years of experience in data product management or business intelligence product ownership</li><li>Proven success leading complex, cross-functional data initiatives</li><li>Strong understanding of data engineering workflows, including ingestion, modeling, and visualization</li><li>Advanced SQL skills and experience querying large datasets</li><li>Experience with BI platforms (e.g., Tableau, Power BI) and scripting/statistical tools (e.g., Python, R)</li><li>Familiarity with modern data platforms (e.g., Snowflake, Databricks, dbt)</li><li>Comfortable writing user stories, creating test plans, and validating datasets</li><li>Strong communication skills with both executive and technical audiences</li><li>Experience working in Agile environments using tools like Jira</li></ul><p>Preferred Qualifications:</p><ul><li>Background in enterprise finance or financial planning domains</li><li>Experience managing data products in media, technology, or analytics-driven sectors</li></ul><p><br></p>

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