Jobs in the United States

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Added 1 min ago
OS
Senior Quality Engineer
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Anaheim, CA
- $125,000 to $145,000 USD / year
Must have experience driving quality and reliability during new product development
Added 2 mins ago
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Sr. Tech Product Manager - Optum Financial
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Eden Prairie, MN
- $91,700 to $163,700 USD / year
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AstraZeneca

Brand Analytics Director

Wilmington, DE, United States
Wilmington, United States

The annual base pay (or hourly rate of compensation) for this position ranges from $155,516.80 to $233,,275.20.

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Job details

Pay: The annual base pay (or hourly rate of compensation) for this position ranges from $155,516.80 to $233,,275.20.
Apply by: May 10, 2027
Posting language: English
Posted: Nov 11, 2026

Original job description

The US Brand Analytics Director is the brand’s expert and strategic authority on commercial data and analytics. The role provides an end-to-end view of performance across patient, HCP, account, access, field and market dynamics, and delivers a competitive advantage through rigorous analysis and insight that supports US and Global decision-making.

The Director continuously measures performance against strategy, forecast and key business objectives, diagnoses the drivers behind results, and proactively identifies emerging opportunities, risks, unmet needs and growth levers before they become obvious in topline reporting. As a standing strategic advisor to Brand Leadership Teams, the Director brings an independent, evidence-based point of view to major business choices, challenges assumptions, connects signals across research, secondary data, competitive intelligence and forecasting, and converts analytics into clear recommendations and actions.

This is a hands-on analytical role and a proactive internal consultant to the brand team. The Director sets the analytics agenda, ensures leaders have the right KPIs and decision-support tools, and advances scalable analytics, AI and automation capabilities that improve the speed and quality of commercial decisions. The role partners closely with the Senior Director, Insights, Analytics & Forecasting. It has no direct reports but may manage contractors and consultants to complete analytical projects.

Role principle: own the business question and recommendation, not simply the requested output.

Known For

Being a trusted commercial analytics partner who connects disparate evidence.
Rigorous secondary-data, advanced analytics and performance expertise.
Clear executive storytelling that turns complexity into action.

Drives Impact By

Identifying performance drivers, risks and growth opportunities early.
Owning segmentation and targeting to proactively guide decision-making on priority customers.
Embedding scalable AI, automation and self-service analytics.

Accountable For

US analytics strategy and a prioritized analytics plan.
Source-of-truth performance views, KPIs and diagnostic narratives, including weekly and monthly performance tracking with executive-level summaries of gaps versus forecast and their drivers.
Decision-ready recommendations that improve brand execution and investment choices.

Key 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, optimal resource and budget allocation across Sales and Marketing channels, patient and prospective analytics, smart business experiments (test and learn), and market simulation and patient flow modelling.
Coordinate the procurement of syndicated and custom, primary and secondary datasets.
Champion the use of local customer insight in strategic and resourcing decisions across the business.
Collaborate with Commercial, Sales Force Operations and Market Access teams on key business processes and joint initiatives.
Identify and prioritize enhancements and new analytic capabilities, and lead their development, deployment and embedding across the organization, including AI and automation use cases.
Instill a culture of continuous improvement, testing and deployment of new capabilities, and develop innovative analytical practices that sustain competitive advantage.
Summarize and present findings through various communication channels, with clear implications and recommended actions for senior leaders.
Apply deep technical knowledge shared across the functional area, such as key datasets and modelling capabilities, and understand how this work integrates with that of colleagues.
Monitor the external environment for leading analytic capabilities, inside and outside pharma, that can be applied within the organization.

Key Stakeholders and Cross-Functional Partners

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

AI and Automation

Embed AI into day-to-day analytics, using tools such as Databricks Genie, Genie Code and Copilot to accelerate analytical code development, model building and deliverable creation.
Build and scale AI-enabled analytics, for example AI-assisted HCP segmentation and scoring, and AI-drafted weekly performance narratives (launch performance copilots) that analysts validate, interpret and turn into recommended actions.
Define repeatable, governed AI use cases with measurable time and quality benefits, and partner with Data and Digital, Data Engineering and enterprise AI teams on governed data feeds and automation.
Apply responsible AI practices: validate AI outputs, document model logic and keep human review of insights and recommendations before they reach business leaders.

Essential Requirements

5+ years of experience applying advanced methods and statistical procedures to large and disparate datasets, specifically:
Statistical analysis and modelling: design of experiments, time series, regression, applied econometrics and Bayesian methods.
Data mining, predictive modelling and machine learning algorithms.
2+ years of recent experience and proficiency with Python, R, SQL and big data technology (Hadoop ecosystem, Spark) or equivalent cloud platforms such as Databricks.
Working knowledge of data visualization tools such as Power BI, Tableau, MicroStrategy, Qlikview, D3js or similar.
Proficiency in Excel and PowerPoint.
Working experience with generative AI and AI-assisted analytics tools (e.g., Databricks Genie, Copilot) and a track record of applying 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.

Desirable Requirements

Strong leadership and interpersonal skills, with demonstrated ability to work collaboratively with many business leaders and cross-functional partners.
Strong communication and influencing skills, with demonstrated ability to present succinct, compelling reviews of independently developed analyses that carry insight and business implications and actions.
Strategic and critical thinking, with the ability to build and maintain credibility with the Commercial Leadership Team.
Strong organizational and time management skills; ability to manage a diverse range of 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.

Educational Requirements

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. An advanced degree (Master’s, MBA or PhD) is preferred.
2+ years of experience in pharmaceutical, biotech or healthcare analytics or secondary data analysis.

Reporting Structure

Reports to the Senior Director, Insights, Analytics & Forecasting. This role does not have direct reports but may manage external contractors.

The annual base pay (or hourly rate of compensation) for this position ranges from $155,516.80 to $233,,275.20. Our positions offer eligibility for various incentives - an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans.

Date Posted 11-Nov-2026 Closing Date 29-Nov-2026Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

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Jobs in the United States