McKinsey's Life Sciences (LS) Practice needs to improve the insights delivered to clients by designing data strategy and delivering analytics. The Data & Analytics CoE Tech Lead will be responsible for making application architecture decisions, delivering clean code, owning product deployment and performance, and mentoring the technical team, while leveraging GenAI to enhance these processes.
Requirements
- Hands-on technical expertise, with proficiency in SQL, Python, and experience in unit and end-to-end testing frameworks
- Experience leading the development of large-scale applications across multiple technical stacks, with familiarity in cloud environments and DevOps practices
- Skilled in Agile Development methodologies, backlog prioritization, and feasibility/complexity assessments
- Proven track record of leading high-performing engineering teams, mentoring and coaching team members, and fostering technical excellence
- Comfortable working in environments where GenAI tools support development, testing, and automation workflows, and able to guide responsible use of AI-assisted tools
- Balances hands-on coding with leadership, teaching best practices, and guiding technical decisions to maximize team potential
Responsibilities
- make application architecture decisions with the help of the team, while leveraging GenAI-supported insights, tools, or accelerators when relevant
- deliver highly performant, tested, and scalable clean code, with openness to incorporating GenAI-assisted development practices when beneficial
- own product deployment and performance in production, potentially using GenAI-based observability or anomaly detection tools in the operating environment
- mentor and coach the technical team, including through code reviews and pair programming, and encourage thoughtful use of GenAI tools in the development process
- anticipate and identify technical impediments and resolve them through architecture design, technology choices, or prioritization—considering GenAI’s role in enhancing or accelerating these pathways
- work closely with the Product Owner to align the roadmap with strengths and opportunities within the existing architecture, including GenAI-enabled processes
- co-create engineering practices, coding style guidelines, and testing approaches, embedding GenAI considerations such as code suggestions, test automation, or documentation generation where appropriate
Other
- Do you want to work on complex and pressing challenges—the kind that bring together curious, ambitious, and determined leaders who strive to become better every day?
- You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
- Bachelor’s or advanced degree from an accredited institution, with consulting experience preferred—ideally within healthcare
- Entrepreneurial mindset with the ability to thrive in a fast-changing environment and build connections across the organization
- Strong work ethic, professional attitude, and a “can-do” mindset, with the ability to manage multiple workstreams in a dynamic setting
