Manager of Data Engineering - Source AI

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You’ve come to the right place. YOUR IMPACT You will own implementation design, client-specific data and configuration choices, deployment reliability, and day-to-day technical problem solving across Source AI rollouts. You will serve as the Senior Technical Delivery lead for client deployments. You will be client-facing and delivery-oriented, with enough depth to guide engineers and external workers while also shaping reusable patterns for future deployments. You will lead end-to-end technical delivery for Source AI client deployments across modules, translating client context and business requirements into implementation choices, including data ingestion and mapping, business rules, workflow configuration, dashboard setup, and deployment approach. You will own solution architecture for deployments, including data flows, integration patterns, testing strategy, reliability, and risk controls. You will partner directly with clients, teams, and internal product teams to resolve data quality, workflow, integration, and performance issues during implementation. You will review technical work produced by internal engineers and external workers; provide coaching, code/configuration review, and escalation support for blockers. Our Source AI team uses generative AI to analyze vast amounts of data, identify patterns, and create actionable insights within Procurement. Our team helps category managers unlock new levels of efficiency, innovation, and cost savings in their procurement and sourcing with an innovative and tailored solution. YOUR GROWTH Driving lasting impact and building long-term capabilities with our clients is not easy work. 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. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else. When you join us, you will have: Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. World‑class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well‑being for you and your family. YOUR QUALIFICATIONS AND SKILLS 10+ years’ experience in Software Implementation or project management Strong hands‑on data engineering background, including Snowflake, SQL (ANSI / Snowflake dialect), Python, APIs, data pipelines, testing, and debugging Experience designing and maintaining end‑to‑end data pipelines using Snowflake and cloud storage such as Amazon S3 Expertise with core Snowflake capabilities such as Warehouses, Snowpipe, Streams, Tasks, and Secure Views Experience configuring and deploying analytics, data, or AI‑enabled products in client environments, ideally with complex data and workflow requirements. Strong problem‑solving across data quality, integration, workflow, and operational reliability issues Ability to define scalable implementation patterns across clients while balancing customization with reuse Working knowledge of solution architecture, SDLC, secure and reliable deployment practices, and quality assurance Experience with CI/CD for data platforms (for example GitHub Actions), performance optimization, and migration from legacy environments to modern cloud data platforms is preferred Experience with semi‑structured data formats such as JSON, Avro, and Parquet, and with secure integration to BI tools and downstream applications Knowledge of data governance and compliance requirements, including PII handling, GDPR, HIPAA, and data quality controls such as validation and anomaly detection. Procurement, sourcing, spend analytics, or operations domain familiarity is a plus Ability to lead and mentor engineers and external workers in fast‑paced delivery settings Strong client communication skills with both technical and non‑technical stakeholders 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. Certain US jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role. To help you understand what you can expect, the salary range for new joiners in this role in United States, including all office locations where the job may be performed, is $165,200 - $170,000 USD gross per year. This reflects our best estimate of the lowest to highest[salary/hourly wages] for this role at the time of this posting, ensuring you have a clear picture right from the start, though it's important to remember that actual salaries may vary. Factors like your office location, your unique blend of experience and skills, start date and our current organizational needs all play a part in determining the final figure. Certain roles are also eligible for bonuses, subject to McKinsey's discretion and based on factors such as individual and/or organizational performance. Additionally, we provide a comprehensive benefits package that reflects our commitment to the wellness of our colleagues and their families. This includes medical, mental health, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement contributions program, financial guidance, and paid time off. 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. #J-18808-Ljbffr