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SeniorFull-time
Salary Range
$143,650 - $194,350 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Data Product Manager to drive innovation and deliver value through the MRI-Simmons Catalyst Platform. This role will own our Consumer Canvas data asset and ensure the evolution of the product aligns with industry growth goals.
Key Responsibilities
- →Integrate multiple data sources including third-party partners to enrich our data product and capabilities.
- →Develop and deliver cloud-based automation to improve dataset production and delivery.
- →Optimize identity graph performance to support enrichment and activation use cases.
- →Drive cross-functional alignment by partnering with product managers, engineering, client-facing teams, and clients directly to ensure timely delivery of high-impact features.
- →Think creatively about how to solve market problems.
- →Partner with the sales team to deliver compelling product presentations and demos.
- →Work closely with the Data Science team to develop the roadmap for the future of our product.
- →Gather and analyze customer feedback to guide product improvements and innovation.
- →Track and report on product performance to drive continuous improvement and business impact.
- →Use data storytelling techniques to communicate insights and recommendations to stakeholders.
- →Ensure data governance and compliance standards are upheld in all client-facing features and internal reporting systems.
- →Lead analytically throughout your portfolio of projects, both quantitatively and qualitatively.
- →Define and measure success metrics to identify and prioritize to improve results.
Requirements
- ✓Strong background in data management and product development.
- ✓Experience with cloud-based automation and data integration.
- ✓Proficiency in identity graph optimization and data governance.
- ✓Excellent communication and data storytelling skills.
- ✓Ability to drive cross-functional alignment and partnerships.
- ✓Analytical mindset with a focus on quantitative and qualitative data analysis.
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