Associate Director – R&D Informatics Data Capability

Key Responsibilities

Strategic Leadership & Transformation

• Lead the data and technology strategy, governance, and compliance efforts for LRL Data and Operations, fostering collaboration across LCCI, global LRL, and partner teams.
• Define and deliver a multi-year strategic data roadmap aligned with LRL’s future vision, focusing on accelerated business value outcomes across drug discovery and development.
• Act as a change agent, transforming LRL’s data and operations into a future-ready, AI-enabled ecosystem capable of supporting future and ongoing key initiatives, and promoting rapid, high-impact innovation.
• Collaborate with enterprise data teams to ensure alignment between LRL’s strategic data priorities and enterprise platforms and programs.
• Promote visibility and engagement by communicating strategic initiatives and outcomes effectively to senior stakeholders and cross-functional teams.

Organizational Optimization & Delivery Excellence

• Restructure and optimize the LCCI Data Hub, aligning talent to the most impactful areas while ensuring delivery of the current book of work.
• Establish and lead a high-performing, cross-functional team, leveraging internal and external talent to meet 2025 strategic commitments and long-term goals.
• Drive Agile delivery excellence through structured PI planning, accountable leadership, and delivery of measurable value in each sprint.

Data Ecosystem Modernization

• Accelerate data delivery and integration by building scalable ingestion pipelines, reusable data products, and intuitive find-and-access capabilities.
• Drive investment and innovation in data engineering, analytics, and search capabilities to enhance decision-making and scientific discovery.
• Champion engineering maturity through the adoption of DevX tools and frameworks, delivering measurable improvements in product quality and operational efficiency.

Application Management & Support

• Serve as the custodian and system owner for the entire LRL application ecosystem—both legacy and modernized—ensuring business continuity, modernization, and performance optimization.
• Lead and re-define the support model for all LRL applications, ensuring seamless day-to-day operations, high user satisfaction, and alignment with evolving R&D priorities.

Talent Development & Leadership Culture

• Mentor and grow diverse technical talent, building a strong leadership pipeline and fostering a culture of inclusion, continuous learning, and collaboration.
• Champion bold leadership by challenging the status quo, driving accountability, and cultivating an environment of innovation across teams and functions.

Qualification & Requirements

Basic Qualifications:

• Degree in Computer Science, Data Engineering, Bioinformatics, Life Sciences, or a related technical field.
• Demonstrated experience in leading data strategy, application ownership, or technology programs in R&D or life sciences.
• Proven ability to lead cross-functional teams across geographies and organizational boundaries.
• Strong knowledge of Agile methodologies, portfolio delivery, and stakeholder engagement practices.

Preferred Qualifications:

• Experience managing large-scale data ecosystems (e.g., data lakes, data mesh, application modernization).
• Deep understanding of scientific computing or pharma R&D application landscape.
• Background in data engineering, AI/ML, and driving automation in research or development environments.
• Strong leadership in managing hybrid teams including internal employees, sister orgs, and contractors.
• Excellent interpersonal skills, including the ability to build professional networks with diverse groups of individuals and to work effectively within geographically dispersed teams and partners.

Benefits

No information available.