Sr Associate Full stack + AI (Consumer Products AI)

Senior Associate - Full stack + Tech

About you

Master s or Bachelor s degree in Computer Science, Engineering, Data Science, or related technical fields.
/ 4-7 years of experience in building and deploying scalable data, analytics, or digital solutions in production environments.
/ Proven experience in leading small to mid-sized teams , mentoring junior members, and driving end-to-end project delivery.
/ Strong programming skills in Python (preferred) and working knowledge of SQL; familiarity with software engineering best practices.
/ Hands-on experience with data platforms, cloud ecosystems (AWS/Azure/GCP), and modern data architectures (data lakes, warehouses, APIs).
/ Experience designing end-to-end solutions including data pipelines, backend services, and frontend applications or dashboards (e.g., React,NextJS or similar frameworks).
/ Familiarity with DevOps practices (CI/CD, containerization using Docker, version control using Git).
/ Strong understanding of system design, scalability, performance optimization, and data modeling.
/ Ability to translate business problems into technical solutions and architecture designs.
/ Strong communication skills with the ability to explain technical concepts to non-technical stakeholders.
/ Prior exposure to consulting or working in cross-functional teams is a plus.

Who you will work with

The Consumer Products Center of Expertise collaborates with Bain s global Consumer Products Practice leadership, client-facing Bain leadership and teams, and with end clients on development and delivery of Bain s proprietary CP products and solutions. These solutions aim to answer strategic questions of Bain s CP clients relating to brand strategy (consumer needs, assortment, pricing, distribution), revenue growth management (pricing strategy, promotions, profit pools, trade terms), negotiation strategy with key retailers, optimization of COGS etc.

You will work as part of the team in CP CoE comprising of a mix of Director, Managers, Projects Leads, Associates and Analysts working to implement cloud-based end-to-end advanced analytics solutions. Delivery models on projects vary from working as part of a CP Center of Expertise, broader global Bain case team within the CP ringfence, or within other industry CoEs such as FS / Retail / TMT / Energy / CME / etc with BCN on need basis.

What you ll do

/ Design and build scalable, production-grade data and analytics solutions, including data pipelines, backend services, and user-facing applications.
/ Architect end-to-end technical solutions by combining data engineering, backend development, and frontend interfaces/dashboards.
/ Lead project workstreams and manage small teams of engineers/analysts , ensuring timely and high-quality delivery.
/ Mentor junior team members, conduct code reviews, and drive adoption of engineering best practices.
/ Collaborate closely with data scientists to productionize models and integrate them into robust, scalable systems.
/ Develop and maintain APIs and data services to enable seamless consumption of data and analytics outputs.
/ Build lightweight frontend applications or dashboards to enable business users to interact with data and insights.
/ Deploy and manage solutions on cloud platforms (AWS/Azure), ensuring performance, scalability, and cost efficiency.
/ Implement best practices in DevOps including CI/CD pipelines, containerization (Docker), and monitoring/logging frameworks.
/ Optimize data workflows and system performance for large-scale data processing and real-time/near real-time applications.
/ Work with business stakeholders to understand problem statements and translate them into scalable technical architectures.
/ Contribute to development of reusable technical assets, accelerators, and Bain intellectual property.
/ Support client discussions by articulating technical approaches and trade-offs in a clear and structured manner.

What you ll do

/ The SA is expected to have a knack for seeking out challenging problems, leading a team and producing their own ideas, which they will be encouraged to brainstorm with their peers and managers. They should be willing to learn new techniques and be open to solving problems with an interdisciplinary approach. They must have excellent coding skills and should demonstrate a willingness to write modular, reusable, and functional code.

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