Tech Lead - McKinsey Transformation
McKinsey & Company
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Posted on Aug 26, 2024
Tech Lead - McKinsey Transformation
Job ID: 89387
Who You'll Work With
You will work in our McKinsey Client Capabilities Network in (EMEA) and will be part of our Wave Transformatics team.
Wave is a McKinsey SaaS product that equips clients to successfully manage improvement programs and transformations. Focused on business impact, Wave allows clients to track the impact of individual initiatives and understand how they affect longer term goals. It is a mix of an intuitive interface and McKinsey business expertise that gives clients a simple and insightful picture of what can otherwise be a complex process by allowing them to track the progress and performance of initiatives against business goals, budget and time frames.
Our Transformatics team builds data and AI products to provide analytics insights to clients and McKinsey teams involved in transformation programs across the globe. The current team is composed of data engineers, data scientists and Product Managers who are spread across several geographies. The team covers a variety of industries, functions, analytics methodologies and platforms – e.g. Cloud data engineering, advanced statistics, machine learning, predictive analytics, MLOps and generative AI.
What You'll Do
You will collaborate closely with a team comprising data scientists, data engineers, product developers, and analytics-focused consultants.
You will be expected to set the overall technical direction for all analytics and data products and coach the data engineers and data scientists to follow-up your direction and coach them where relevant. All this with the overall focus to bring advanced analytics capabilities into one of the firm's flagship products, named "Wave”. Your work will be the backbone for how McKinsey runs future Transformations, leveraging data science assets, to lead to our client's success.
In this role you will be responsible for collaborating with product management and your team to design and build true analytics products which are performant, robust and maintainable. You will set technical strategy and standards for our data-engineering and data-science teams on architecture, way-of-working, expected code quality and documentation, with the goal of building a long-term sustainable product and team. This includes extending tooling such as CI/CD pipelines, also considering new MLOps tooling such as feature stores or experiment tracking.
You will spend a significant portion of your time coaching more junior team members and helping them improve their mastery of core engineering principles mainly but also their domain knowledge.
Qualifications
- BSc in the field of computer science, machine learning, applied statistics, mathematics or related field
- 7+ years of experience of which at least 2 years working as a tech lead for data science or data engineering focused teams
- Experience coaching and mentoring more junior colleagues
- Deep experience with software engineering principles, having designed complex systems and being able to set a standard based on experience
- Experience with data structuring and architecture
- Experience with tooling to enable engineering excellence such CI/CD tools and registries
- Experience with deploying analytics models to production (e.g. container based deployments)
FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.
FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.
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