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Associate Director, Data Management & Portfolio…
- BeOne Medicines (Emeryville, CA)
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General Description:
We seek an experienced professional to lead our Data Management and Portfolio Analytics initiatives. The Associate Director, Data Management & Portfolio Analytics is responsible for transforming data into actionable insights that will drive business decisions, enhance patient outcomes, and optimize product development. The role will serve as a key partner to drive data-driven operation and decisions with the clinical development stakeholders.
Essential Functions of the Job:
Data Analytics & Interpretation:
+ Set the analytics strategy and roadmap with business stakeholders across portfolio.
+ Implement digital and automated solutions (e.g., risk-based and integrated data review, AI-assisted data cleaning, query management) to improve efficiency.
+ Provide senior leadership with forward-looking analyses, predictive models, and risk assessments to inform governance and prioritization.
+ Partner to establish and monitor data management operations across clinical programs, ensuring high-quality, timely and compliant data insights delivery from various data sources.
+ Utilize advanced analytics, machine learning, and artificial intelligence techniques to identify trends, patterns, and opportunities within complex datasets, directly applying these capabilities to address business challenges.
+ Ensure the accuracy, integrity, and security of data to meet compliance standards and regulatory requirements.
Stakeholder Engagement:
+ Translate business and cross-functional questions into well-structure analyses with actionable recommendations on program health, resource allocation, cycle time reduction.
+ Understand business and organization in-depth, familiar with business process, strong business acumen.
+ Act as a key point of contact and partner to product managers and business functions to define KPIs, OKRs, metrics, develop and implement role-based dashboards or analytical tools to track business operations, performance and suggest data-driven next best actions.
Innovation and Continuous Improvement:
+ Stay abreast of industry trends, emerging technologies, and best practices in data analytics and insights to drive innovation within the organization.
+ Hands-on experience in implementation and operationalizing AI/ML solutions in business context, technically proficient in various algorithms and models.
+ Identify and improve processes continuously, explore the opportunities of doing things differently and smartly.
Team Management:
+ Manage a team of data scientists and data analysts or managers or senior members of the team, developing talent, and fostering a culture of continuous improvement.
+ Foster a culture of curiosity, accountability and continuous improvement.
+ Promote data-driven decision-making at the study and program level through hands-on support and stakeholder engagement.
Education/Experience Requirements:
+ Bachelor’s degree in Data Science, Statistics, Computer Science, Life Sciences, or a related field and 8+ years of data analytics, insights, or related fields experience required.
+ Master’s degree in Data Science, Statistics, Computer Science, Life Sciences, or a related field and 6+ years of experience in data analytics, insights, or related fields preferred.
+ PhD in Data Science, Statistics, Computer Science, Life Sciences, or a related field and 4+ years’ experience of data analytics, insights, or related fields.
+ Proven track record of managing large-scale data projects and leading high-performing teams.
+ Familiar with clinical systems, e.g., EDC, CTMS, IRT, Argus and other systems.
+ Hands-on experience with AI/ML frameworks and libraries to develop algorithms in business context. Familiarity with Agentic AI is a plus.
+ Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.
+ Strong interpersonal skills and the ability to lead cross-functional teams and influence at all levels of the organization.
+ Strong capability of prioritizing and handling multitasks, executing quickly.
+ Be able to work under pressure.
+ Strong proficiency in data analysis tools and programming languages.
+ Exceptional analytical, problem-solving, and critical-thinking skills
+ Self-motivator, hands-on, disciplined and proactive person with great team-work spirit and strong accountability.
Supervisory Responsibilities:
+ 4+ years in a management role overseeing analytical insights
Computer Skills:
+ Strong PC literacy required; MS Office skills (Outlook, Word, Excel, PowerPoint).
**Travel:** Minimal
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.
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Associate Director, Data Management & Portfolio Analytics
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