Recruitment Data Policies Senior Manager, Go-to-Market Data Science

UCB • Atlanta, GA

8d • Hybrid

About The Position

UCB is seeking an adaptable, collaborative individual with an intrapreneurial mindset to join its Global Advanced Analytics team. The Go-to-Market domain encompasses the commercial, medical, and market access facets of the business. This hybrid role is based in the Atlanta, Georgia, or Raleigh, North Carolina offices and requires 40% onsite presence.

The role delivers business impact through secondary data and advanced analytics, developing insights that increase data use and, where appropriate, reduce the need for primary data. It manages and implements advanced analytics and AI projects, oversees the ongoing operation and scaling of analytics solutions, and serves as a subject matter expert for advanced analytics and AI capabilities in support of business needs. Its mission is to deliver actionable, data-driven insights that create high patient value.

The role works with Global Advanced Analytics Team Leads, US and Global Go-to-Market Teams, Integrated Insights Hub Leads, and business stakeholders in the Patient Value Units. External partners include payors and analytics vendors supporting data science projects.

Requirements

• Bachelor's degree in a quantitative area.
• At least 6–8 years of experience applying predictive modeling techniques such as machine learning, decision trees, ensemble learning, and neural networks, and data transformation techniques such as data cleansing, integration, and fuzzy matching.
• At least 6–8 years of experience developing program or project plans and leading programs or projects from initiation through implementation.
• At least 6–8 years of experience with programming and application development using Python or R.
• Willingness and flexibility to work across geographies and time zones, sometimes outside core hours.

Nice To Haves

• Master's or doctoral degree in a quantitative area.
• Knowledge of the pharmaceutical industry, ideally specialty pharma and biologic treatments.
• Deep expertise applying data science methodologies in the pharmaceutical Go-to-Market sphere, including commercial, medical, and market access.
• Expertise analyzing large secondary transactional databases, unstructured data, or other computationally difficult challenges.
• Mastery of project management skills.
• Structured problem-solving ability.
• An 80/20 mindset and ability to push for fast model iterations.
• Ability to interpret model results and identify potential errors, including overfitting, model bias, and confusion of correlation with causation.

Responsibilities

• Provide expertise on opportunities to apply advanced analytics, particularly when it can reduce the need for primary data or deliver high marginal impact.
• Deliver high-impact data and analytics projects that address compelling business questions or identify new opportunities for patients and UCB, using effective visual displays of quantitative and qualitative information.
• Partner strategically with Go-to-Market and functional stakeholders to co-create data and advanced analytics plans and priorities with Go-to-Market Hub Leads.
• Maintain close collaboration with IT, the Data Office, and other Analytics teams using relevant data sources.
• Mentor and guide junior data scientists and translators in applying advanced analytics, communicating and presenting insights, and pragmatically implementing recommendations.
• Drive execution of regional and local data-driven insights research and data analytics plans and priorities.
• Foster a data science community across Hubs and Engine with strong business acumen and communication skills.
• Supervise advanced analytics studies collaboratively and ensure study methodologies are appropriate to produce reliable results.
• Develop and execute communication and collaboration plans with key UCB stakeholders to improve partnerships and impact.
• Build the business knowledge of the role holder and team members through direct interaction with patients and/or other external stakeholders.
• Attract, retain, motivate, coach, and develop talent for the Advanced Analytics team.
• Build deep partnerships with Hub insights teams, other Engines, and insights-generating functions, including regional analytics teams, to deliver joined-up, cross-functional insights.
• Champion a data-driven decision-making culture.
• Manage and implement advanced analytics and AI projects, oversee the ongoing operations of analytics solutions, and scale solutions for additional demand and applications.

Benefits

• A caring, supportive, inclusive culture where employees are respected and have equal opportunities to do their best work.
• Opportunities to grow and the freedom to shape a career path and achieve one's potential.
• Hybrid-first work approach, with teams brought together in local hubs.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior