Allergan Data Labs is hiring a
Senior Data Product Manager

Summary

The job is for a Senior Product Manager at Allergan Data Labs, a startup-oriented organization within AbbVie. The role involves managing a portfolio of data products, collaborating with cross-functional partners, and coordinating with data teams to conceive, design, and deploy data products.

Requirements

• BS or MS degree
• At least 3 years as a Product Manager having launched multiple software or data products
• At least 2 years of experience in defining, building, and deploying data products in particular

Responsibilities

• Manage a portfolio of data products consisting of curated datasets and AI/ML solutions accessible through a variety of interfaces
• Research, conceive, and document new data products through user interviews, surveys, and concept testing
• Work with partners to document requirements for data products including objectives, performance, and ROI
• Coordinate with software Product Managers to ensure that data products are accessible to end users through interfaces or integration into software products
• Prioritize development of data products based on user feedback, technical feasibility, resources, strategic goals, and ROI
• Work with Data Technical Project Managers to set development schedules, report status, and deliver products on time
• Collaborate closely with Data Science & Engineering teams to ensure seamless integration of data products within our data ecosystem
• Coordinate A/B testing and other approaches to quantify the performance of data products
• Define & report KPIs to measure data product performance, user adoption, and ROI
• Ensure that all data governance best practices are utilized, including data classification, privacy controls, performance & lineage observability, and inclusion in the data catalog
• Work with the Head of Product and Head of Data to define a data product strategy that aligns with business objectives, internal capabilities, and market opportunities
• Clearly present data products & informational materials at the appropriate level of detail to executives & business partners
• Maintain sharp professional knowledge & skills, and stay abreast of new developments in data technologies, data science, ML, and AI
• Mentor and supervise less senior staff

Preferred Qualifications

BS or MS in Computer Science, Statistics, Mathematics, Data Science, Engineering, or other quantitative field

Benefits

• Paid time off (vacation, holidays, sick)
• Medical/dental/vision insurance
• 401(k) to eligible employees
• Short-term incentive programs
• Long-term incentive programs