AstraZeneca
Product Director - Evinova
US - Durham - NC · Director
Sponsorship not specified$186k-$279kDetected 3 days ago
Machine LearningData ScienceLLMsRAGAgentic AIA/B TestingComplianceProduct ManagementProduct StrategyHIPAAHL7/FHIRClinical TrialsPatient CareResearchLeadershipCollaborationMicrosoft OfficeGxP
Stay score
odds of building a lasting career here
64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
Level I$129,9171 entry
Level II$160,7632 entries
Level III$191,6303 entries
Level IV$222,4774 entries
$5,616 more — $191,630 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $191,630 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Computer and Information Systems Managers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Computer and Information Systems Managers (11-3021) · Durham-Chapel Hill, NC. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- As Product Director, you will operate with significant autonomy and act as the general manager for your product area at Evinova.
- Architect the product with AI and machine learning at its core-for example: intelligent automation, contextual recommendations, predictive insights, and generative AI-powered workflows that reduce effort for end users.
- Meet users where they are and guide them through their change management journey-earning adoption by easing the transition to new, AI-enabled ways of working rather than forcing it.
Responsibilities
- Develop a deep, first-hand understanding of our users, their problem spaces, and their day-to-day workflows-pinpointing where the product can deliver step-function impact rather than incremental gains.
- Drive rapid hypothesis validation through prototyping and experimentation.
- Own the full product lifecycle end-to-end: from concept and design through development, launch, go-to-market, and post-launch iteration informed by usage data and customer feedback.
- Lead AI-Native product development
- Collaborate closely with data science and engineering teams to translate ground breaking AI capabilities into practical, regulation-aware product features.
- Design for the end user first-building intuitive, collaborative workflows that reduce burden and enable clinical development and clinical operations teams to work seamlessly together, with connectivity across Evinova's modules.
- Maintain a sharp point of view on the evolving clinical trial and AI landscape-proactively finding opportunities to apply emerging capabilities to the challenges faced by clinical development and clinical operations teams.
- Drive strategic leadership across Evinova
- Partner with a matrixed product organization to drive connectivity across Evinova's modules and inform the product roadmap.
- Partner with commercial to ensure the product does not over-fit to any one customer.
Requirements
- 8+ years of product management experience
- Bachelor's Degree
- Demonstrated experience of at least 3 years in a director-level or senior product leadership capacity owning a product area end-to-end.
- Domain experience in clinical trials or life sciences.
- Demonstrated entrepreneurial track record: you have taken at least one product from zero to one-as a founder, early-stage PM, or intrapreneur within a larger organization.
- You can point to products you conceived, shipped, and scaled.
- Proven ability to operate in enterprise B2B SaaS environments, including navigating complex customer landscapes, long sales cycles, and platform-level product decisions.
- Domain experience in clinical trials or life sciences. You bring a deep understanding of the clinical development and clinical operations personas, know the clinical ecosystem (EDC, CDMS, CTMS, eTMF), and can engage credibly with clinical operations leaders, medical directors, biostatisticians, data managers, and regulatory professionals.
- Demonstrated entrepreneurial track record: you have taken at least one product from zero to one-as a founder, early-stage PM, or intrapreneur within a larger organization. You can point to products you conceived, shipped, and scaled.
- Deep, hands-on experience building AI/ML-powered products. You understand model development lifecycles, training data strategies, prompt engineering, evaluation frameworks, and the unique UX challenges of AI-driven features. AI fluency is non-negotiable for this role.
- Strong technical skill: comfortable partnering directly with engineers and data scientists, reviewing technical specifications, and contributing to architectural trade-off decisions.
- AI Fluency Expectations
- You use AI tools daily in your own workflow-for research, analysis, writing, prototyping, and decision-making-and can articulate how AI is transforming product development practices.
- You can evaluate AI/ML model outputs, reason about precision/recall trade-offs, and make informed product decisions around model thresholds, confidence scoring, and human-in-the-loop design patterns.
- You maintain a current and informed perspective on the AI landscape-foundation models, agentic AI, retrieval-augmented generation, fine-tuning-and have a point of view on how these capabilities apply to regulated industries like clinical research.
Nice to have
- Experience as a founder or co-founder of a technology company, or as the first product hire at an early-stage startup.
- Working knowledge of clinical trial data standards (CDISC SDTM/ADaM, CDASH) and regulatory submission workflows.
- Hourly and salaried non-exempt employees will also be paid overtime pay when working qualifying overtime hours.
- Are you ready to bring new insights and fresh thinking to the table?
- We have one seat available, and we hope it's yours.
- This means opening new ways to work, pioneering latest methods, and bringing unexpected teams together.
- Come and join our journey.
Compensation
- The annual base pay for this position ranges from $186,014.40 - $279,021.60 USD Annual.
Benefits
- Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment.
- Evinova represents a unique opportunity to deliver meaningful outcomes with digital and AI to serve the wider healthcare community and create new standards for the sector.
- Join us on our journey of building a new kind of health tech business to reset expectations of what a biopharmaceutical company can be.
- Define and own the product vision, strategy, and multi-year roadmap for an AI-native product, from first principles through scale.
- Serve as the strategic product leader across the organization, aligning engineering, design, data science, and commercial around a unified product vision.
Company info
- Evinova enables global life sciences to accelerate better health outcomes through innovative digital health solutions for clinical research.
- We are a distinct business within the AstraZeneca group - advancing digital transformation across the clinical trial, hospital operations, and patient treatment landscape.
- Communicate product strategy, progress, and trade-offs to Evinova's executive leadership and key enterprise customers.
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This listing is sourced directly from AstraZeneca's careers page and normalized into a canonical job model.