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Director Product Analytics Jobs in Delaware (NOW HIRING)

The Director, AI Product Developmentispart oftheAI for Commercial (AIC) team within the newly ... Commercial, Medical Affairs, Market Access, or Insights & Analytics * Demonstrated ability to drive ...

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Director Product Analytics information

What does a director of product analytics do?

A Director of Product Analytics leads a team responsible for analyzing product data to drive strategic decisions and improve product performance. They collaborate with product managers, engineers, and business stakeholders to identify key metrics, set up data tracking systems, and translate data insights into actionable recommendations. Their role involves overseeing data collection, ensuring data quality, and fostering a data-driven culture within the organization. Ultimately, they help guide the product roadmap by providing evidence-based insights that align with business goals.

How does a director of product analytics typically collaborate with product and engineering teams to drive data-informed decision making?

A Director of Product Analytics works closely with product managers and engineering leads to embed data-driven insights into product development cycles. This collaboration often involves translating business goals into measurable metrics, designing experiments or A/B tests, and interpreting results to inform feature prioritization. Regular meetings, joint planning sessions, and shared dashboards help ensure that analytics are integrated into daily workflows, enabling teams to iterate quickly and make evidence-based decisions. Effective communication and the ability to align analytics strategy with product roadmaps are key to success in this role.

What are the key skills and qualifications needed to thrive as a director of product analytics, and why are they important?

To thrive as a Director of Product Analytics, you need expertise in data analysis, product strategy, and business intelligence, typically supported by an advanced degree in a quantitative field and significant analytics experience. Proficiency with analytics tools like SQL, Python, Tableau, and experience with A/B testing platforms and data warehousing systems are essential. Strong leadership, strategic thinking, and excellent communication skills set standout candidates apart by enabling them to translate complex data into actionable insights for cross-functional teams. These skills and qualities are crucial for driving data-informed product decisions and achieving business goals.

What is the difference between Director Product Analytics vs Product Analytics Manager?

AspectDirector Product AnalyticsProduct Analytics Manager
ResponsibilitiesOversees analytics strategy, leads teams, influences product decisions at a strategic levelManages analytics projects, supports product teams, focuses on tactical execution
Required SkillsAdvanced analytics, leadership, strategic planning, cross-functional collaborationData analysis, reporting, stakeholder communication, technical skills
ExperienceTypically 8+ years, leadership experienceTypically 3-7 years, technical and project management experience
Work EnvironmentStrategic, cross-departmental, leadership meetingsProject-focused, collaboration with product teams and analysts

The main difference between a Director Product Analytics and a Product Analytics Manager lies in scope and seniority. The director leads analytics strategy and manages teams, while the manager handles day-to-day analytics projects supporting product teams. Both roles require strong analytical skills, but the director's role is more strategic and leadership-oriented.

What are the most commonly searched types of Product Analytics jobs in Delaware?

The most popular types of Product Analytics jobs in Delaware are:

What are popular job titles related to Director Product Analytics jobs in Delaware?

For Director Product Analytics jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Director Product Analytics jobs in Delaware look for?

The top searched job categories for Director Product Analytics jobs in Delaware are:

What cities in Delaware are hiring for Director Product Analytics jobs?

Cities in Delaware with the most Director Product Analytics job openings:

Infographic showing various Director Product Analytics job openings in Delaware as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, 2% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Director, AI Product Development

AstraZeneca

Wilmington, DE

Full-time

Posted 12 days ago


AstraZeneca rating

8.4

Company rating: 8.4 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

23rd of 86 rated pharmaceutical


Job description

Make a greater impact on lives through a digitally enabled enterprise. We are working towards our aspiration of shaping the future of Pharma. Backed by investment at every step, we harness the latest technology, data, and innovative ways of working to introduce new approaches that put Digital at AstraZeneca's heart.

Be part of a chapter that's still being written. Trusted and empowered to change the way things are done, with the tools and support to get you there. Here we are free to unleash our curiosity and turn thinking into reality where smart risks and quick decisions come together to power disruption and innovation.

Office Locations: This is an on-site, office-based role. Please consider the following AZ US HUB locations - Wilmington, DE This is a product leadership role: you will own the end-to-end lifecycle of AI-powered applications that go into the hands of field and headquarters teams, driving decisions that affect patients and brands at scale. The Role: The Director, AI Product Development is part of the AI for Commercial (AIC) team within the newly founded Enterprise AI organization.

You will lead the design, build, launch, and adoption of GenAI and ML-powered products that serve Global and US functions including commercial, medical, market access, and patient programs. You define the roadmap, drive cross-functional execution, and are accountable for measured business impact. Key Responsibilities Own the full AI product lifecycle: from problem definition and customer research through AI development, UX design, deployment, adoption, and measurement.

This means shipping products, not delivering reports. Lead GenAI and agentic AI product development. Define product requirements and functional specifications for AI-powered applications, agentic workflows, and ML-driven tools serving medical, commercial, and field teams.

Translate business questions into product requirements. Partner with Marketing, Medical Affairs, GIBEX, Field Operations, and IT to align product capabilities with brand objectives, field workflows, and launch timelines. Partner with technical delivery leads, engineering, and data science teams to translate requirements into scalable and governed solutions, ensure high-quality, timely execution.

Establish clear RACI, maintain alignment on priorities, and drive accountability across a cross-functional delivery model. Drive adoption and impact measurement. Define success criteria before launch; track usage, output quality, and downstream business impact post-launch.

Communicate results to leadership with clarity. Operate within enterprise AI governance. Navigate compliance requirements, data access controls, vendor management, and IT approval processes.

Ensure all products are deployed responsibly and with appropriate documentation. Stay current with GenAI, agentic AI, and pharma AI trends. Identify emerging capabilities with strategic fit, pilot solutions with speed and rigor, and champion a platform-centric approach that enables reuse, scalability, and accelerated deployment across functions and markets.

Minimum Requirements Bachelor's degree in a quantitative field (Computer Science, Statistics, Engineering, Economics, or equivalent); advanced degree preferred 7+ years of experience building and shipping data science or AI products in a commercial setting; 3+ years of experience in building Gen AI tools and platforms. Demonstrated experience owning an AI product end-to-end: requirements, development, deployment, and post-launch measurement Familiarity with LLMs, prompt engineering, RAG architectures, and/or agentic frameworks (e.g., LangChain, LlamaIndex, or similar) Fluency in Python and ML/AI tooling; experience with cloud platforms (AWS, Azure, or GCP) Strong product thinking: ability to define user needs, write clear requirements, prioritize a backlog, and communicate tradeoffs to customers 3+ years in Pharmaceutical or Life Sciences; familiarity with commercial data and field-facing workflows Desirable Requirements Experience building GenAI products under enterprise governance requirements Background spanning multiple functions: Commercial, Medical Affairs, Market Access, or Insights & Analytics Demonstrated ability to drive user adoption: training, change management, and usage analytics Experience managing external suppliers and consultants against defined deliverables and timelines Strong executive communication skills; comfortable presenting product roadmaps and cases to senior leadership in a matrixed organization When we put unexpected teams in the same room, we unleash bold thinking with the power to encourage life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions

That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility.

Join us in our unique and ambitious world. Are you ready to bring new insights and fresh thinking to the table. Fantastic.

We have one seat available, and we hope it's yours. Apply today. AstraZeneca embraces diversity and equality of opportunity.

We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.

We follow all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements. Date Posted 20-Aug-2026 Closing Date 02-Sep-2026 Our 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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About AstraZeneca

Sourced by ZipRecruiter

AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development and commercialization of prescription medicines for some of the world's most serious diseases. But we're more than one of the world's leading pharmaceutical companies. A place built on courage, curiosity and collaboration - we make bold decisions driven by patient outcomes. Empowered to lead at every level, free to ask questions and take smart risks that write the next chapter for our pipeline and Oncology team. Make a meaningful impact that brings real benefits to society. By applying your knowledge of data, you will help to redefine our industry and ultimately save lives. Work with experts who share a common goal: to accelerate the potential of medicines and the science of tomorrow.

Industry

Pharmaceutical product wholesalers and pharmaceutical and medicine manufacturing

Company size

10,000+ Employees

Headquarters location

Cambridge, Cambridgeshire, GB