Remote Senior Technical Program Manager
at Allergan Data Labs

Summary

Join Allergan Data Labs, a high-performing team transforming the Allergan Aesthetics beauty business at AbbVie. As Senior Technical Program Manager, you will report to the Director of Technical Program Managers and collaborate with key stakeholders to solve technical problems.

Requirements

• 5+ years of experience in Technical Project Management for complex initiatives, especially data systems and products
• Solid understanding of Agile, Scrum and Kanban development methodologies
• Experience with Agile project/product management tools like Jira and Confluence
• Good understanding of machine learning, data analytics, rule-based systems, and data architecture
• Experience building solutions based on data, hypotheses, and MVPs by defining and aligning on clear requirements, working with a cross-disciplinary team of data engineers, BI engineers, data scientists, and data analysts
• Experience managing partners and vendors that are critical to project delivery
• Organizational and coordination skills along with multi-tasking capabilities to get things done in a fast-paced environment
• Strong interpersonal skills and the ability to work with many different personality types
• Ability to identify risks to timelines, escalate as necessary and propose mitigation strategies
• Highly attentive to driving maximum efficiency from a team, with the ability to eliminate cruft while preaching simplicity
• Experience with DevOps or with using DevOps lifecycle management tools like GitHub or GitLab is a plus
• Ability to interpret ERDs and SQL skills are a plus

Responsibilities

• Collaborate with Data Engineers, Data Scientists, Data Analysts and Software Engineers to plan, maintain, and prioritize engineering and data insights work via respective JIRA boards
• Execute the Scrum Master role, when needed, including running daily/weekly scrum ceremonies for both Data Engineering and Data Science teams
• Facilitate technical discussions/decisions for the program and be a key interface across Data Engineering, Data Science and ML Engineering ensuring interdependent work progresses in lockstep
• Own and Drive the ultimate delivery responsibility and accountability for the successful implementation of data projects, including integrations with other systems, collaborative design work and dashboards, build of data models and algorithms
• Liaise with internal teams and outside vendors for technical specification documentation
• Create and maintain technical artifacts (roadmaps, project plans, capacity planning, technical workflows, etc)
• Manage technical release planning in collaboration with engineering and business owners/stakeholders
• Develop a status and reporting structure that is consistent with agile principles that also gives insight into progress toward the business outcomes
• Work with key stakeholders to define and gather requirements
• Ensure all project and implementation deliverables are completed on time, to specification and of high quality
• Build trust based partnerships, and communicate progress across organizational boundaries and levels from individual contributors to senior executives

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