#### *About the Role*
We are seeking an experienced Data Product Manager with deep expertise in Databricks, the Medallion architecture, and Master Data Management (MDM). This role will be instrumental in shaping our data strategy, driving product development, and ensuring data initiatives align with business objectives. The ideal candidate will have a strong technical background and the ability to translate complex data needs into actionable plans, working closely with cross-functional teams.
#### *Key Responsibilities*
1. *Product Strategy & Roadmap*: Develop and drive the product vision, strategy, and roadmap for data platforms, ensuring alignment with business goals and customer needs.
2. *Data Architecture & Design*: Leverage expertise in Databricks and Medallion architecture to design and oversee the implementation of robust, scalable data solutions that optimize data processing, storage, and access.
3. *Master Data Management (MDM)*: Lead MDM initiatives to ensure data consistency, quality, and governance across the organization, implementing best practices for data integration, cleansing, and standardization.
4. *Stakeholder Collaboration*: Work closely with engineering, data science, and analytics teams to define product requirements, set priorities.
5. *Data Governance & Compliance*: Establish data governance policies, ensuring compliance with regulatory standards, data privacy, and security requirements.
6. *Performance Optimization*: Identify and address performance bottlenecks within data pipelines, continuously seeking improvements and optimizations to ensure efficient data flow.
7. *Market & User Research*: Conduct research to understand market trends, user needs, and competitive landscape, translating insights into product enhancements and new features.
8. *Project Management*: Manage the end-to-end project lifecycle, including planning, execution, and delivery, while maintaining timelines and budgets.
9. *Team Leadership*: Mentor and guide team members, fostering a collaborative and innovative environment.
10. *Metrics & KPIs*: Define and track key performance indicators (KPIs) to measure the success of data initiatives, continuously refining strategies based on data-driven insights.
#### *Qualifications*
- Bachelor’s degree in Computer Science, Data Science, or related field. Advanced degree preferred.
- 5+ years of experience as a Product Manager, specifically focused on data platforms, with hands-on experience in Databricks, Medallion architecture, and Master Data Management.
- Strong understanding of data modeling, data warehousing, ETL processes, and data governance frameworks.
- Proven track record of managing complex data projects from ideation to delivery.
- Exceptional analytical, problem-solving, and decision-making skills.
- Excellent communication skills with the ability to convey technical concepts to non-technical stakeholders.
- - Experience working in Agile/Scrum environments is a plus.