Practice Senior Manager Tech AI - Sustainability

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Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.

WHO YOU’LL WORK WITH

Over the past two decades, Bain has formalized Industry and Capability areas, internally known as “Practices”, integral to how Bain wins and delivers results to its clients. A Practice can be considered a business unit of Bain & Company. The role within a Practice is primarily focused on supporting our client-facing partners and case teams to deliver great client and people success stories. This can include, at times, client-facing work. Specifically, the Practice defines and implements their strategy and allocates resources to: 

• Boost Bain’s knowledge and expertise in the sector or capability: co-create, shape and manage innovative perspectives and products to help the business win more projects, and to serve clients more effectively and efficiently
• Prioritize clients and enable them to reach their full potential
• Develop partner team and capabilities
• Build the practice’s brand and reputation externally

For an overview of Bain’s Industry and Capability Practice architecture, visit www.Bain.com.

Sustainability (which covers environmental, social, and governance issues) is an increasingly important topic for our clients. In the Sustainability Practice, we help our clients make critical decisions that impact the core of their business strategy related to sustainability strategy, environmental and social impacts of operations, stakeholder engagement, and sustainability-related growth and cost opportunities. We work to ensure that sustainability efforts are anchored in business fundamentals and demonstrate a clear return on investment – and that those efforts are then firmly embedded within our clients strategy and operations.

Read more about our Sustainability consulting services to learn more about our work.

WHERE YOU’LL FIT WITHIN THE TEAM

As Practice Senior Manager (Tech / AI), you’ll lead the strategy and execution of tech- and AI-enabled tools that drive growth and innovation for our clients and teams. You will oversee the development and deployment of priority digital tools, ensuring they deliver measurable impact across the Sustainability practice. 

You’ll also shape the development of Bain’s AI for Sustainability solution set, helping to shape its direction and developing products for clients. You will also work closely with our AI- and digital-focused Vector practices to embed AI responsibly and effectively into their client offerings. 

In this role, you’ll help shape the product roadmap, oversee delivery, and serve as a key liaison between Bain’s leadership, consulting teams, and our broader innovation ecosystem. The role requires close collaboration with Bain’s internal engineering and product teams (e.g., the Core Innovation Team), external technology partners, Bain’s Sustainability Partners, and other experts globally to build or partner on innovative technology solutions.

You will also be a critical member of the Sustainability Practice, and your analytical, interpersonal, creative thinking, business management and leadership skills will be called upon from day one. You will work alongside the Practice team to become a critical contributor to help achieve the Practice’s annual and longer-term goals which includes driving global collaboration, supporting case teams to drive results with clients, building new intellectual property (IP), increasing our visibility and reinforcing our competitive differentiation externally.

WHAT YOU’LL DO 

The scope of work is flexible but will likely fall into the following main categories.

Practice strategy, planning, and operations 

• Manage a product management backlog of Sustainability related IP items
• Lead the tech/AI budget and resource planning in partnership with Bain’s internal engineering and product teams (e.g., Bain’s Core Innovation Team)
• Monitor developments in AI and emerging technologies and help translate these into practical insights, tools, or trainings to upskill colleagues across the practice

Solution design, development, deployment, and delivery 

• Oversee, develop, and execute priority tool development (e.g., turning IP and innovation into impactful tools)
• Use product thinking to shape digital and AI-enabled sustainability solutions — translating customer or user needs into actionable features and priorities
• Support development and piloting of AI-driven sustainability solutions by building and testing proof-of-concept models in collaboration with engineering teams and/or forging partnerships with technology providers 
• Contribute to digital and AI scaling efforts by identifying opportunities to embed automation, analytics, and emerging technologies that enhance delivery and impact
• Assess and recommend AI and digital tools, guiding build vs. buy decisions and leading third-party vendor assessments for sustainability-related technologies
• Collaborate with other teams to ensure sustainability is embedded in broader AI solutions and products within Bain
• Provide hands-on support for clients and case teams (e.g., leveraging technology solutions and supporting on proposals) 

Practice communications and teaming 

• Work effectively cross-practice and cross-functionally; proactively share and solicit information across the practice, focusing on key implications
• Contribute to a culture of innovation by surfacing new ideas, sharing learnings from pilots, and championing the use of emerging technologies within the practice
• Support impact tracking and feedback loops for piloted tools and IP to inform iteration and broader scaling
• Serve as a bridge between sustainability and digital transformation teams, ensuring AI-driven solutions align with both business and sustainability impact goals
• Train and informally coach junior team members

ABOUT YOU 

Education

• Master’s degree or equivalent; background in Product Management, Data Science or Engineering preferred

Experience 

• At least 7 years’ experience in product management, enterprise tech, or digital transformation
• Experience in consulting or advisory roles with exposure to client needs and delivery is preferred
• Experience in leading and working in fast-evolving, ambiguous environments — such as internal innovation teams or digital incubators

Required Knowledge, Skills, and Abilities

• Demonstrated product thinking: able to frame user needs, inform feature prioritization, and guide digital solution development in partnership with technical teams
• Familiarity with AI/ML technologies / tools (e.g., Python, R, OpenAI APIs), with an applied understanding of how they can create business value for our team and clients
• Familiarity with machine learning workflows and tools (e.g., model training, evaluation, or deployment), with the ability to collaborate effectively with data scientists/ML engineers
• Familiarity with data and architecture literacy (e.g., data pipelines, data governance & security) and knowledge in responsible AI practices 
• Demonstrated experience engaging with technical topics and tools (e.g., Python, OpenAI APIs, Azure)
• Proven ability to work independently, manage multiple projects, prioritize effectively, and deliver results in fast-paced, ambiguous environments (comfortable with a remote supervisor and team)
• Proven ability to work cross-functionally with technical and non-technical teams, including engineers, product managers, and sustainability experts
• Proficient in creating high quality presentations and executive-level communications. Excellent written and verbal communication skills, with the ability to translate complex ideas into clear, executive-friendly narratives (including in PowerPoint)
• Ability to communicate technical or digital concepts to non-technical stakeholders
• Ability to structure and lead complex business research and analysis in fast-paced environment, as well as the skills to drive to pragmatic business insights
• Ability to help build AI expertise within the team and among key senior stakeholders
• Maturity to manage highly confidential information  
• Interest in Sustainability and related issues
• Fluency in English