Senior AI Product Specialist, BI&A Enablement

Who We Are

Boston Consulting Group (BCG) 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

Be part of a team that is transforming BCG into an AI-first company! We are building a centralized Business Intelligence & Analytics (BI&A) function that will simplify and automate information delivery—providing advanced insights and analysis to support decision-making. To date, the team has launched and operationalized several global-scale products and dashboards, enhancing how our leaders engage in information to manage the business. With AI, the next wave of digital reporting is underway which will help to unlock further value for BCG’s leadership and functions with best-in-class business intelligence and analytics.

As a Senior AI Product Specialist, BI&A Enablement, you’ll play a key role in identifying, evaluating, and optimizing how BCG teams apply AI within their work. You’ll partner closely with business stakeholders, product owners, and AI engineers to evaluate use cases, design optimal prompting strategies, and measure agent performance. Your focus will be on ensuring that every AI use case is impactful, efficient, and aligned with BCG’s standards for quality, security, and business value.

Key Responsibilities

Use Case Evaluation & Enablement

• Partner with business and product teams to identify and assess potential AI use cases.
• Evaluate feasibility, value potential, and alignment with strategic priorities.
• Translate business workflows into structured AI-enabled opportunities.
• Create documentation and recommendations that guide prioritization and implementation.

Prompting & Agent Performance Optimization

• Collaborate with technical teams to design, test, and refine prompting strategies for large language models (LLMs) and AI agents.
• Develop evaluation frameworks for accuracy, response quality, and consistency across use cases.
• Define and manage metrics and benchmarks to assess model and agent performance.
• Analyze results to identify optimization opportunities and best practices for reuse across teams.
• Support deployment of prompting templates and playbooks for common BCG business tasks.

Cross-Team Collaboration & AI Product Support

• Partner with Data Engineers and Product Analysts to operationalize validated use cases and integrate optimized prompts into production systems.
• Provide feedback loops between users, analysts, and technical teams to continuously improve agent performance.
• Contribute to documentation, training materials, and enablement sessions to scale GenAI adoption across teams.

Evaluation, Governance & Reporting

• Implement quality assurance standards, evaluation guardrails, and bias mitigation techniques for AI workflows.
• Track adoption and usage metrics to measure business impact.
• Produce insights and recommendations that inform continuous improvement cycles.
• Maintain up-to-date documentation of evaluation results, prompting strategies, and learnings.

What You'll Bring

Technical & Analytical Skills

• 5–8 years of experience in analytics, AI product evaluation, or data-driven business enablement.
• Deep understanding of Generative AI, LLM capabilities, and prompt engineering principles.
• Proficiency in analyzing model outputs and designing frameworks to evaluate accuracy and utility.
• Working familiarity with AI tools and libraries (LangChain, LlamaIndex, HuggingFace, OpenAI APIs, Anthropic Claude, etc.).
• Basic Python knowledge for experimentation, data analysis, or building prompt evaluation scripts.
• Strong SQL and data fluency to support analysis and insight generation.
• Experience working with business data, dashboards, or measurement frameworks.

Collaboration & Communication Skills

• Ability to bridge technical AI concepts and business needs clearly and effectively.
• Experience facilitating workshops or discussions around AI use-case design and performance evaluation.
• Strong analytical storytelling and structured problem-solving skills.
• Comfort working with cross-functional global teams in fast-paced, iterative environments.
• A mindset of curiosity, accountability, and continuous learning in applied AI.

Who You'll Work With

As part of BI&A Enablement, you’ll collaborate with product managers, data engineers, and business teams across BCG. Together, you’ll evaluate AI opportunities, optimize LLM-powered solutions, and build the frameworks that enable responsible, effective AI adoption firmwide.

Additional Information & Example Deliverables

• AI driven products and guiding their architecture
• Prompt and agent performance evaluations
• Prompt optimization playbooks and reusable templates
• Model evaluation dashboards & quality scoring tools
• Business impact and adoption measurement reports

Key skills/competency

• Generative AI
• Prompt Engineering
• Large Language Models (LLMs)
• AI Product Evaluation
• Data Analysis
• SQL
• Python
• Business Intelligence
• Stakeholder Management
• Performance Optimization