Brand Analytics Director

AstraZeneca • Wilmington, DE

1d

About The Position

The US Brand Analytics Director is the brand’s strategic authority on commercial data and analytics, providing an end-to-end view of performance across patient, HCP, account, access, field and market dynamics. The Director measures performance against strategy, forecasts and business objectives; diagnoses results; identifies emerging opportunities, risks, unmet needs and growth levers; and delivers evidence-based recommendations that support US and Global decision-making. As a strategic advisor to Brand Leadership Teams, the Director connects research, secondary data, competitive intelligence and forecasting, challenges assumptions, and translates analytics into clear actions. This is a hands-on analytical role and proactive internal consulting position that sets the analytics agenda, establishes KPIs and decision-support tools, and advances scalable analytics, AI and automation capabilities. The role partners closely with the Senior Director, Insights, Analytics & Forecasting. It has no direct reports, but may manage contractors and consultants. The role’s principle is to own the business question and recommendation, not simply the requested output.

The Director is accountable for US analytics strategy and a prioritized analytics plan, source-of-truth performance views, KPIs and diagnostic narratives, and decision-ready recommendations that improve brand execution and investment choices. This includes weekly and monthly performance tracking with executive-level summaries of gaps versus forecast and their drivers.

The role embeds AI into day-to-day analytics and develops governed, repeatable AI-enabled use cases. Examples include AI-assisted HCP segmentation and scoring, and AI-drafted weekly performance narratives that analysts validate and translate into recommended actions. The Director documents model logic, validates AI outputs and ensures human review before insights and recommendations reach business leaders.

Key partners include US Brand and Commercial leadership, Marketing, US Commercial and R&I leadership, Business Insights and Forecasting, Global brand and analytics counterparts, Medical, Market Access, Finance, Competitive Intelligence, Sales Force Operations, Field Leadership, Customer Engagement, Data and Technology teams, GBS/GCS, procurement and external vendors.

Requirements

• At least 5 years of experience applying advanced methods and statistical procedures to large, disparate datasets.
• Experience with statistical analysis and modelling, including design of experiments, time series, regression, applied econometrics and Bayesian methods.
• Experience with data mining, predictive modelling and machine learning algorithms.
• At least 2 years of recent experience and proficiency with Python, R, SQL and big data technology such as the Hadoop ecosystem and Spark, or equivalent cloud platforms such as Databricks.
• Working knowledge of data visualization tools such as Power BI, Tableau, MicroStrategy, QlikView, D3.js or similar.
• Proficiency in Excel and PowerPoint.
• Working experience with generative AI and AI-assisted analytics tools, such as Databricks Genie or Copilot, and a track record of using them to improve analytical speed, quality or automation.
• Proficiency in manipulating and extracting insights from large longitudinal data sources, such as claims, EMR and other patient-level datasets.
• Expertise in managing and analyzing a range of large secondary transactional databases.
• Quantitative bachelor’s degree from an accredited college or university in Engineering, Operations Research, Management Science, Economics, Statistics, Applied Math, Computer Science, Data Science or a related field.
• At least 2 years of experience in pharmaceutical, biotech or healthcare analytics or secondary data analysis.

Nice To Haves

• Advanced degree (Master’s, MBA or PhD).
• Strong leadership and interpersonal skills, including the ability to collaborate with business leaders and cross-functional partners.
• Strong communication and influencing skills, including presenting succinct, compelling reviews of independently developed analyses with business implications and recommended actions.
• Strategic and critical thinking, with the ability to build and maintain credibility with the Commercial Leadership Team.
• Strong organizational and time-management skills, including the ability to manage multiple simultaneous projects.
• Experience leading AI or automation pilots and scaling them into governed, repeatable team capabilities.
• Familiarity with responsible AI, model validation and change leadership.

Responsibilities

• Develop a deep understanding of internal customers’ data and analytical needs, with a focus on customer-facing model leadership.
• Design and implement analytical solutions for business opportunities, customer segmentation and targeting, HCP and patient opportunity identification, return-on-investment analytics, Sales and Marketing resource and budget allocation, patient and prospective analytics, test-and-learn experiments, market simulation and patient flow modelling.
• Coordinate procurement of syndicated and custom, primary and secondary datasets.
• Champion the use of local customer insight in strategic and resourcing decisions.
• Collaborate with Commercial, Sales Force Operations and Market Access teams on business processes and joint initiatives.
• Identify and prioritize enhancements and new analytic capabilities, and lead their development, deployment and organizational adoption, including AI and automation use cases.
• Instill a culture of continuous improvement and testing, deploy new capabilities, and develop innovative analytical practices that sustain competitive advantage.
• Summarize and present findings through appropriate communication channels, explaining implications and recommended actions to senior leaders.
• Apply deep technical knowledge of key datasets and modelling capabilities, and understand how the work integrates with colleagues’ work.
• Monitor the external environment for analytic capabilities inside and outside pharma that may be applied within the organization.
• Embed AI into day-to-day analytics using tools such as Databricks Genie, Genie Code and Copilot to accelerate code development, model building and deliverable creation.
• Build and scale AI-enabled analytics, such as AI-assisted HCP segmentation and scoring and AI-drafted weekly performance narratives, with analysts validating and interpreting outputs.
• Define repeatable, governed AI use cases with measurable time and quality benefits, partnering with Data and Digital, Data Engineering and enterprise AI teams on governed data feeds and automation.
• Apply responsible AI practices by validating outputs, documenting model logic and maintaining human review of insights and recommendations.
• Own US analytics strategy and a prioritized analytics plan, source-of-truth performance views, KPIs and diagnostic narratives, and decision-ready recommendations.
• Provide weekly and monthly performance tracking and executive-level summaries of gaps versus forecast and their drivers.

Benefits

• Eligibility for short-term incentive bonuses.
• Equity-based awards for salaried roles.
• Qualified retirement programs.
• Paid time off, including vacation, holidays and leaves.
• Health coverage.
• Dental coverage.
• Vision coverage.

What This Job Offers

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