Senior Manager - Data Sciences & AI
Core
Leading a team of data scientists to build scalable digital, data, and AI-enabled solutions for clinical and commercial supply chain processes in the pharmaceutical industry.
Role type
Senior Manager, Data Sciences & AI (People Leadership & Technical Strategy)
Builds
Scalable digital, data, and AI-enabled solutions for supply chain operations
Domain
Life Sciences / Pharmaceutical Supply Chain
Deliverable
production ML models | product features | infrastructure
Required skills
People leadership and line management, Technical leadership and cross-functional delivery, Product ownership and domain translation, Data science and data engineering fluency, AI engineering and application delivery, Pragmatic prioritization and delivery management, Enterprise architecture and compliance leadership
Preferred skills
Experience in pharma, biotechnology, life sciences, regulated manufacturing, or GxP-compliant technology environments, Strong understanding of supply chain processes, Experience leading software engineering, AI engineering, data engineering, analytics, or technical delivery teams, Experience operating in product, platform, data, analytics, or enterprise application environments, Ability to translate business needs into scalable, secure, maintainable, and compliant technology solutions, Experience operating in Agile delivery environments and managing multiple priorities, projects, and stakeholder groups, Experience supporting end-to-end software delivery from concept through production stabilization and ongoing support, Ability to assess technology options, understand tradeoffs, and make sound recommendations based on business value, cost, risk, compliance, technical debt, delivery capacity, and long-term impact
Technologies
AI/ML, semantic technologies, agents/workflows, data pipelines, data modeling, data quality, metadata, data lineage
Responsibilities
Coaching, performance management, hiring input, workload prioritization, team health, and talent development; Guiding data scientists, product owners, business partners, architecture teams, AI platform teams, data teams, and stakeholders through delivery decisions, dependencies, and tradeoffs; Partnering with subject-matter experts, business stakeholders, and technical teams to translate supply chain needs into scalable product solutions that deliver measurable outcomes; Applying core principles of artificial intelligence, machine learning, data modeling, data quality, metadata, data lineage, and data pipelines to define solutions to complex problems; Building, integrating, evaluating, and operationalizing AI/ML capabilities, including context engineering, agents/workflows, evaluations, guardrails, and human-centric designs; Demonstrating leading-edge understanding of AI, semantic technologies, and product practices while retaining enough technical depth to prototype, review designs, challenge assumptions, and unblock teams; Balancing business needs, technical debt, delivery capacity, risk, speed, dependencies, stakeholder expectations, and long-term scalability across multiple projects; Ensuring solutions are secure, reliable, maintainable, well-documented, and aligned with enterprise architecture, operational standards, cybersecurity, data privacy, model governance, GxP, HIPAA, and other applicable life sciences compliance expectations; Fostering a culture of innovation, accountability, inclusion, continuous learning, technical curiosity, rapid prototyping, platform-first thinking, and high-quality delivery
Seniority
Senior Manager, hands-on IC with people leadership
