Associate Director Research, Supply Production and Financial Analytics, Data Insights

Role Summary

We seek an experienced professional to lead our Research, Supply Production and Financial Analytics Initiatives. The Associate Director Research, Supply Production and Financial Analytics, Data Insights 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 operations and decisions with clinical development stakeholders.

Responsibilities

• Data Analytics & Interpretation: Set the analytics vision, strategy and roadmap with business stakeholders across portfolio.
• Data Analytics & Interpretation: Implement development of analytics and digital tools for early discovery and translational research, supply readiness, CMC, cross-functional resource utilization, vendor performance and cost scenario modeling and forecasting, or required by other business functions.
• Data Analytics & Interpretation: Provide senior leadership with forward-looking analyses, predictive models, and risk assessments to inform governance and prioritization.
• Data Analytics & Interpretation: 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.
• Data Analytics & Interpretation: 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 CMC, supply readiness, resource allocation, cycle times, and productivity metrics with cost efficiencies.
• Stakeholder Engagement: Understand business and organization in-depth, familiar with business process, strong business acumen.
• Stakeholder Engagement: 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.
• Innovation And Continuous Improvement: Hands-on experience in implementation and operationalizing AI/ML solutions in business context, technically proficient in various algorithms and models.
• Innovation And Continuous Improvement: 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.
• Team Management: Foster a culture of curiosity, accountability and continuous improvement.
• Team Management: Promote data-driven decision-making at the study and program level through hands-on support and stakeholder engagement.
• Supervisory Responsibilities: 4+ years in a management role overseeing analytical insights and multiple business operations.

Qualifications

• 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 teamwork spirit and strong accountability.

Skills

• Strong PC literacy required; MS Office skills (Outlook, Word, Excel, PowerPoint).

Education

• Bachelor’s degree in Data Science, Statistics, Computer Science, Life Sciences, or a related field and 8+ years’ experience in data analytics, insights, or related fields required.
• Master’s degree in Data Science, Statistics, Computer Science, Life Sciences, or a related field and 6+ years’ experience in data analytics, insights, or related fields.
• PhD in Data Science, Statistics, Computer Science, Life Sciences, or a related field and 4+ years’ experience of data analytics, insights, or related fields.

Additional Requirements

• Travel: Minimum