Skechers Store Manager responsible for customer satisfaction and sales at Paris retail location. Leading a dynamic team and ensuring smooth daily operations.
About the role
- Sr Manager, Data Management leading development and stewardship of analytics-ready data products to enhance insights. Collaborating across teams to ensure high-quality data assets.
Responsibilities
- Own and Manage Requirements for Data Products
- Understand business use cases and translate them into clear, actionable functional requirements for data models
- Collaborate with Intelligence Product Owners and Analytics teams to document business rules and ensure alignment with analytical needs
- Lead the design and evolution of scalable data architecture across insights and analytics products
- Define and maintain logical and physical data models that support reusability, performance, and governance
- Collaborate closely with Gilead IT to execute new build projects and enhancements
- Oversee and guide DevOps teams to ensure timely and high-quality delivery of data solutions
- Align technical design with business requirements and ensure architectural consistency
- Ensure operational excellence in data ingestion, transformation, and delivery processes
- Build and maintain robust, scalable, and automated data pipelines across internal and external sources
- Manage HCP (Healthcare Professional) and Account MDM systems to ensure accurate, complete, and unified customer profiles
- Drive data quality monitoring, alerting, and remediation processes
- Oversee governance practices including metadata management, access control, and data lineage
- Create clear specifications and Functional Impact Assessments (FIAs) for onboarding new data sources
- Advance the vision of enabling self-service for commercial business functions by increasing access to trusted data and insights
Requirements
- Master’s degree in Data Management, Computer Science, Information Systems, or a related field and 6 years of related experience OR Bachelor’s degree in Data Management, Computer Science, Information Systems, or a related field and 8 years of related experience
- 8+ years of experience in data management, data modeling and operations preferably in a life sciences company
- 5+ years working with pharmaceutical data
- Experience in Data Governance - MDM, Data Stewardship, data quality management
- Experience building and operating Data warehouse/Datalake on cloud
- Hands-on experience with modern data platforms (e.g., Snowflake, Databricks, AWS/GCP/Azure)
- Strong communication and stakeholder management skills, with the ability to translate technical concepts into business value
- Excellent ability to build partnerships and work collaboratively
- Ability to present data and initiatives to a diverse set of audiences
Benefits
- company-sponsored medical, dental, vision, and life insurance plans
- discretionary annual bonus
- discretionary stock-based long-term incentives (eligibility may vary based on role)
- paid time off
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