At a Glance
- Tasks: Join a global team to transform data into actionable insights and drive business impact.
- Company: Boston Consulting Group, a leader in business strategy and innovation.
- Benefits: Competitive salary, performance bonuses, retirement contributions, and comprehensive benefits package.
- Why this job: Be part of a dynamic team shaping the future of data-driven decision-making.
- Qualifications: 4-6 years in product or data analysis, with a focus on AI and GenAI projects.
- Other info: Collaborative environment with opportunities for continuous learning and career growth.
The predicted salary is between 72000 - 84000 £ per year.
Locations: Boston London Atlanta
Who We Are
Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.
To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.
What You\’ll 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:
- 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)
- 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
- 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
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 thoughtfully – 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
What You\’ll 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 You\’ll 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
In the US, we have a compensation transparency approach.
Total compensation for this role includes base salary, annual discretionary performance bonus, retirement contribution, and a market leading benefits package described below.
The base salary range for this role in Boston is $102,000.00 – $137,333.33
This is an estimated range, however, specific base salaries within the range depend on various factors such as experience and skill set. It is not common for new BCG employees to be hired at the high-end of the salary range. BCG regularly reviews its ranges to ensure market competitiveness.
In addition to your base salary, your total compensation will include a bonus of up to 12% and a generous retirement contribution that starts at 5% and moves to 10% after 2 years.
. click apply for full job details
Global Product Senior Specialist - Data Enablement, Data Layer employer: Boston Consulting Group
Contact Detail:
Boston Consulting Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Global Product Senior Specialist - Data Enablement, Data Layer
✨Tip Number 1
Network like a pro! Reach out to current or former employees at BCG on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
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Prepare for the interview by diving deep into BCG's projects and values. Show us that you understand our mission and how your skills can contribute to transforming organisations into data-driven enterprises.
✨Tip Number 3
Practice your storytelling! We love candidates who can articulate their experiences in a way that highlights their problem-solving skills and user-focused approach. Make sure to have examples ready that showcase your impact.
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We think you need these skills to ace Global Product Senior Specialist - Data Enablement, Data Layer
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the role. Highlight your experience in data analysis and product development, especially if you've worked with GenAI or similar technologies. We want to see how your skills align with what we're looking for!
Showcase Your User-Focused Approach: In your application, emphasise your ability to understand user needs and translate them into actionable insights. Share examples of how you've successfully collaborated with stakeholders to deliver impactful solutions. This is key for us at StudySmarter!
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How to prepare for a job interview at Boston Consulting Group
✨Know Your Data Inside Out
Make sure you understand the data landscape relevant to the role. Familiarise yourself with data platforms like Snowflake and AWS, and be ready to discuss how you’ve used data to drive decisions in past projects.
✨Master the Art of User Stories
Since this role involves translating business needs into actionable user stories, practice crafting clear and concise user stories. Think about how you can engage end-users for feedback and ensure their needs are met.
✨Showcase Your Collaboration Skills
Prepare examples that highlight your ability to work with cross-functional teams. Discuss how you've collaborated with engineers, product owners, and stakeholders to deliver successful data products.
✨Be Ready to Discuss Metrics
Understand the importance of KPIs in measuring success. Be prepared to talk about how you’ve defined and tracked metrics in previous roles, and how they contributed to project outcomes.