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What Youll Do
Join the Data Layer Team
, a global portfolio transforming our organization into a data-driven enterprise! The Data Layer Team is a portfolio of 30 people who build essential data platforms, products, and capabilities to empower our clients and colleagues with high-quality, actionable insights. Our focus is on creating scalable data solutions and advancing our data infrastructure to drive informed decision-making across the company.
As Use Case Enablement Product Analyst
within BCG s Data Layer Team, you will collaborate with Use Case Enablement Product Owner and cross-functional teams to gather and analyze business and data requirements. Your role is critical to bridging the gap between business stakeholders and technical teams, ensuring that new GenAI use cases are well-scoped, feasible, and aligned with user needs.
You will work with various Gen AI use cases and applications, including:
Consultant Journey
internal GenAI assistants that changes the way consultants work to provide value to our clients.
Practice Area GenAI applications
developed by functional practice areas to support various capabilities (e.g., outside-in rapid cost diagnostics or Accelerated Cost Analysis).
Data catalog
a centralized library that provides consulting teams with access to critical tools and data assets across BCG
These tools require ingestion of multiple data sources, and your role will be to support the selection of eligible datasets and identify the best sources for each GenAI use case. You will ensure that these use cases and applications are equipped with the necessary data pipelines to maximize their impact on business and users.
You will play a key role in use case discovery and requirements refinement, while also managing the continuous maintenance and enhancement of data asset quality, accuracy, and stability to support evolving use cases.
Detailed responsibilities include:
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Deliver business results and customer value
- Support the development of GenAI-enabled data products by helping translate business needs into actionable data requirements
- Help to define requirements for user stories and structure the backlog with a focus on measurable outcomes
- Help shape GenAI-enabled use cases that contribute to real business impact, through thoughtful prioritization and attention to detail
- Participate in evaluating use case success metrics and learn from what works (and what doesn t)
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Serve as the voice of customer or end-user
- Translate business needs into user stories, engaging end users for continuous feedback
- Engaging in continuous data discovery exercises to understand most valuable data assets that satisfy customer needs
- Balance customer value, technical feasibility, and business impact when making prioritization decisions
- Work with product teams to integrate GenAI-enhanced offerings into BCG systems and workflows
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Deliver high-quality outcomes
- Collaborate with engineers, architects, and product teammates to test and validate data pipelines ensuring solutions are robust, accurate, and useful
- Contribute to documentation that helps others understand the why and how behind what s been built, supporting long-term scalability and reuse
- Work with stakeholders across BCG (e.g., Practice Areas, Knowledge Teams) to ensure data products are grounded in real needs and enable meaningful use
- Share observations, risks, or open questions early your input helps the team avoid missteps and refine solutions before they reach users
What Youll Bring
4 6+ years of experience
in a product analyst, business analyst, or data analyst role ideally supporting data or AI-related projects
Project management skills, with ability to build project plans, track progress, drive alignment and manage risks
Proven experience in AI, GenAI, or data product development, preferably with a focus on GenAI-powered user-facing applications
Experience in enterprise software development, data engineering, or AI-driven transformation initiatives
Experience working with structured and unstructured data, and familiarity with modern data platforms (e.g., Snowflake, AWS, SharePoint)
A working knowledge of agile ways of working, and openness to learning through iteration and feedback
Understanding of enterprise data governance, AI model integration, and scalable data architecture
Familiarity with AI/ML technologies, including GenAI models (e.g., OpenAI GPT, RAG, fine tuning models, or machine learning frameworks)
Good communication skills, especially when collaborating across different functions or surfacing potential risks or questions
Familiarity with tools like JIRA, Confluence, Excel, or lightweight data catalog platforms is a plus
Experience in a consulting or client-service environment is helpful, but not required
Who Youll Work With
BCG Global Consulting Practice Areas
(Functional & Industry) and Data Teams
Partnering with business leaders to transform prioritized offerings into GenAI-enabled solutions, collaborating with teams such as the Data Product Portfolio, Data Governance CoE, Master Data Management, Enterprise Architecture, and Data Product Development
Data Layer Offer Enablement Product Owner Lead (PO)
Aligning on strategic priorities, roadmap development, and execution
Data Layer Offer Enablement Team
Collaborating amongst Data Product Analyst, and working alongside data engineers, lead architects, data stewards, and QA engineers
Data Layer Data Governance Team
Partnering to ensure that data assets meet quality, metadata, and compliance standards, and are appropriately catalogued for reuse
Product Teams
Collaborating with BCG s product team members to integrate required data sources into GenAI-enhanced offerings
Agile Coaches
Embedding agile principles into daily work, leveraging coaching support to drive an iterative and user-focused approach to GenAI use case development
Data Product Consumers
(Internal Customers) Translating their voice and needs into user stories, ensuring their requirements are reflected in the backlog, and actively engaging them for feedback and validation
Additional info
YOU RE GOOD AT
Being user-focused
Deeply understanding and translating business needs into GenAI enabled solutions, ensuring offerings address real user challenges
Communicating with transparency
Clearly and openly engaging with stakeholders at all levels, ensuring alignment, visibility, and trust across teams
Bringing a data-driven approach to decision-making
Leveraging qualitative and quantitative insights to prioritize initiatives, measure impact, and refine solutions
Facilitating data discovery sessions
Engaging business stakeholders to capture business context, user intent, and data solution objectives
Breaking down complex challenges
Applying critical reasoning and creative problem solving to analyze problem statements and design effective, scalable solutions
Collaborating with product and technical teams
Working closely with POs, engineers, and data stewards to ensure solutions meet expectations and constraints
Collaborating with development teams
Ensuring prioritized data sources align with GenAI solution requirements, business objectives, and technical feasibility
Defining and tracking KPIs
Establishing measurable success metrics to drive squad performance and ensure data products align with OKRs
Documenting thoughtfull
y Creating simple, clear artifacts (e.g., data definitions, flow diagrams, test plans) that others can build from
Contributing to continuous improvement
Bringing curiosity and a mindset of learning, always looking for ways to improve how the team works or deliver
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