Senior Data Product Manager

March 7

🏡 Remote – Anywhere in California

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Logo of Allergan Data Labs

Allergan Data Labs

Allergan Data Labs is on a mission to transform the medical aesthetics business at Allergan Aesthetics, an AbbVie company (NYSE: ABBV), one of the largest pharmaceutical companies in the world$1. .$1

201 - 500

Description

• 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 (Product Engineering, Marketing, Sales, Operations, BI, etc.) 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.

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. • Skilled at identifying new products, performing product discovery, user interviews, surveys, concept testing, and A/B testing. • At least 2 years of prior experience as an individual contributor in data-related roles such as data engineer, data scientist, data analyst, or data-centric software. • Broad understanding of basic approaches to models and algorithms for ML, AI, and data analytics. • Experience with data storage architectures such as relational databases, data warehouses, data lakes, lakehouses, and data mesh. • Basic understanding of data flow architectures including microservices & APIs, ETL/ELT, and data streaming. • Exceptional verbal and written communication skills, and the ability to generate compelling data visualizations. • Working knowledge of agile development methodologies. • Ability to work effectively from your remote location using modern collaborative tools running on a company-provided laptop.

Benefits

• Competitive salary. • Competitive annual bonus targets. • 401k with dollar for dollar match, up to 6% of eligible earnings (base, bonus). Plus additional company contribution. • RSU grants (Long Term Incentives) for approved roles. • Comprehensive medical, dental, vision and life insurance. • 17 paid holidays per year, including 3 floating holidays. • Annual Paid Time Off (PTO), with separate sick days. • 12 weeks paid Parental Leave. • Caregiver Leave. • Adoption and Surrogacy Assistance Plan. • Flexible workplace accommodations. • Attend AWS Re:Invent in person (Las Vegas) or virtually each year for approved roles. • Tuition reimbursement. • A MacBook Pro and accompanying hardware to do great work. • A modern productivity toolset to get work done: Slack, Miro, Loom, Lucid, Google Docs, Atlassian and more. • Generous discounts on SkinMedica skin care products.

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