
Senior Director, Product Management, Digital AI
Emeryville, CAJobSeen todaySeen in employer's feed today
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At a glance
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Requirements
Credentials this posting asks for.
Job overview
BeOne Medicines seeks a Senior Director of Product Management to lead strategy, development, and adoption of a digital product for study budget, resource, and cost planning across global R&D. The leader will connect R&D priorities with technology capabilities, guide product delivery and continuous improvement, and lead product managers. The role focuses on improving forecasting, cost visibility, governance, and decision-making.
Skills & qualifications
Skills
Qualifications
Full job description
BeOne Medicines is seeking an accomplished Senior Director, Product Management to lead the strategy, development, and adoption of, a digital product supporting study budget, resource, and cost planning and management across global Research & Development.
The role will translate complex business needs into an integrated product strategy, capability roadmap, and measurable outcomes; align business, data, and technology decisions; and guide delivery, adoption, and continuous improvement.
This leader will connect R&D business priorities with technology capabilities to improve study budget development, resource and cost forecasting, visibility across forecasts, allocations, and actual costs, and related governance and decision-making.
The successful candidate will bring pharmaceutical R&D knowledge, digital product management expertise, relevant domain experience, strategic thinking, and cross-functional leadership.
Essential Functions of the Job:
1. Digital Product Strategy and Portfolio Leadership
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Define and execute the product strategy and roadmap, aligned with global R&D scientific, clinical, operational, and financial priorities.
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Partner with R&D leaders to identify business challenges, assess digital opportunities, and prioritize initiatives based on strategic value, feasibility, expected impact, and scalability.
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Lead product planning and prioritization across study budget development, resource and cost forecasting, visibility across forecasts, allocations, and actual costs, reporting, and governance.
2. End-to-End Product Management
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Lead the full product lifecycle, from opportunity identification and product discovery through development, launch, adoption, and continuous improvement.
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Translate complex R&D and domain needs via customer journey mapping and service design into a clear product vision, requirements, roadmap, acceptance criteria, and measurable outcomes.
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Partner with technology, engineering, architecture, data, AI, quality, and business teams to deliver user-centered, scalable, and secure solutions integrated into R&D workflows.
3. Digital & AI Innovation
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Identify and advance opportunities to use AI, advanced analytics, automation, and emerging technologies to improve study planning, cost and capacity decisions, and R&D productivity.
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Collaborate with AI and technology teams to translate emerging capabilities into practical, high-value applications
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Evaluate internal and external digital solutions to accelerate innovation and maximize value from technology investments.
4. Business Partnership and Value Realization
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Build trusted partnerships with senior R&D leaders and stakeholders across Global Portfolio and Program Management, Global Clinical Operations, Finance, Global R&D Sourcing, and functional teams to shape priorities and domain requirements.
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Connect business functions with technology teams to align product priorities, business requirements, ownership, and delivery expectations.
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Drive product adoption and continuous improvement through user engagement, workflow integration, business validation, and change management.
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Define and track product performance indicators, including adoption, productivity, quality, decision support, and business impact.
5. Leadership and Organizational Capability
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Lead, coach, and develop product managers , fostering a culture of customer focus, innovation, accountability, collaboration, and execution.
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Establish consistent product management tools, standards, governance, and ways of working.
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Evolve and optimize product management workflows and practices using AI to improve product outcomes and team productivity.
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Promote cross-functional collaboration and strengthen product management capabilities across global R&D.
Qualifications Required:
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Bachelor’s degree in life sciences, computer science, engineering, information technology, business, finance or a related discipline.
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Typically 12+ years of relevant professional experience, including substantial experience in digital product management, product strategy, or technology-enabled business transformation.
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Demonstrated success leading complex digital products or product portfolios through strategy, development, deployment, adoption, and continuous improvement.
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Strong understanding of pharmaceutical R&D processes, including clinical development, clinical operations, regulatory affairs, research, or related functions.
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Demonstrated prior experience with development of study budgeting and resource or cost forecasting, including the ability to connect budget assumptions, resource allocations, actual internal costs, and related governance to product requirements and decision support.
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Experience translating business needs into product strategies, roadmaps, and solutions that deliver measurable business outcomes.
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Understanding of data and data flow across connected systems and tools
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Working knowledge of digital technologies, data analytics, AI/ML applications, and modern product development methodologies.
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Demonstrated ability to influence senior stakeholders and lead cross-functional teams in a complex, global organization.
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Strong strategic thinking, communication, problem-solving, and execution capabilities.
Preferred:
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Advanced degree (MBA, MS, PhD, or equivalent) in a relevant discipline.
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Experience in pharmaceutical, biotechnology, CRO, clinical technology, or life sciences technology organizations.
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Familiarity with R&D planning and budgeting processes, cost drivers, forecast-versus-actual analysis, and the data and technology ecosystems that support these activities.
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Experience evaluating and implementing digital and AI-enabled products in R&D environments
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Demonstrated success building product management capabilities and developing high-performing teams.
Computer Skills:
- Proficiency with digital product management, collaboration, analytics, roadmap, and presentation tools; working knowledge of data and AI-enabled products.
Other Qualifications:
- Ability to operate effectively in a global, matrixed environment with strong executive communication and stakeholder-management skills.
Travel:
- Domestic and international travel may be required based on business needs.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
How this job compares
Set against the 10,706 open Product Management jobs on Olive Jobs, counted November 7, 2026.
- Pay
- This postingNot listed
- California median$177–263K/yr1,445 salary ranges
- California median$38–57/hr28 hourly ranges
- Openings
- Olive Jobs lists 1,707 open Product Management jobs in California and 10,706 across the US. 9% of them nationwide are listed as remote or flexible.
- Hiring the most in California
- Google114 open
- Palo Alto Networks58 open
- NVIDIA52 open
- Experience
- This posting asks for at least 12 years of experience — more than three in four Product Management postings that state a minimum ask for (median 7 years, across 9,032 postings).
- Education
- This posting asks for a bachelor's degree; 3,250 of the 10,706 open Product Management jobs (30%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 7, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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