Director, Product Management - Perfomance Improvement Practice

WHAT MAKES US A GREAT PLACE TO WORK

We are proud to be consistently recognized as one of the world's best places to work. We are currently the #1 ranked consulting firm on Glassdoor's Best Places to Work list and have maintained a spot in the top four on Glassdoor's list since its founding in 2009.

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

You'll join the Product, Practice and Knowledge (PPK) group as part of the Performance Improvement Practice. 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 is considered a business unit of Bain. The primary role of the Practice is to drive commercial growth, build and deepen Bain's expertise, and continually innovate to ensure Bain is best positioned to solve clients' most pressing challenges. The Director of Product Management is part of the leadership team of the Accelerated Performance Transformation Solution and leads a cross-functional team in building AI / tech products, collaborating closely with Vector, the Core Innovation Team, among others.

WHAT YOU'LL DO

Your core responsibilities will include

AI / tech strategy and leadership

Own the outcome-based roadmap for AI / tech products in the portfolio — grounded in client / user needs, technical constraints, and future-back vision

Stay on top of industry and technology trends and the competitor ecosystem, balancing what's possible with what serves the Solution vision and maintaining a PoV on build / buy / partner

Role model continuous AI / tech innovation by leading discovery efforts to test hypotheses, validating what's valuable for clients / users, and turning Bain IP and insights into tangible products and client-facing offerings

Establish robust feedback mechanisms to continuously capture insights from client teams, case teams, and users — translating learnings into actionable enhancements to the product strategy, roadmap, and feature prioritization

Define and execute quarterly objectives and key results, continuously measuring and reporting on progress and direct decisions on the product backlog, positioning, budgeting, pricing, and go-to-market strategy

Delivery and execution

Drive AI / tech innovation throughout the product lifecycle :

Ideate + discover with internal stakeholders, potential clients and users

Test + learn with Lighthouse clients (leveraging insights to generate IP and data assets)

Scale successful innovations to drive consulting revenue and client outcomes

Evolve to stay differentiated and market competitive

Measure + collect continuous feedback internally and externally

Deliver cross-product strategic initiatives, managing interdependencies, and ensuring modularity, shared approaches and data — reporting progress and outcomes to senior leadership

Draft business plans that demonstrate compelling value proposition and ROI to secure internal funding

Ensure consistency with firmwide best practices and policies related to data governance and infrastructure

Lead demos and establish credibility with internal stakeholders

Advisory and collaboration

Collaborate closely with the Global Solution Leader to

Develop evergreen 3-year Solution strategy and plan, including supporting technical roadmap

Make build / buy / partner decisions

Deliver offerings that clients value and that differentiate Bain in the market

Drive consulting revenue and growth for the Solution and Practice

Share and leverage best practices (process, data, tools, and otherwise) across Bain, avoiding siloed problem solving

ABOUT YOU

AI product management experience

Bachelor's or Master's degree in business, technology, or a relevant field

4-6 years of product management experience, ideally dealing with ERP and other operational data & developing advanced analytics products

Proven ability to set and guide medium-and long-term technology direction — including high-level decisions on build / buy / partner, vendor selection, and architectural standards — ensuring scalability, reliability, and cost efficiency (e.g., FinOps, data governance, DR) across AI and analytics products

Demonstrated experience working with diverse technology stacks and data architectures — e.g., cloud-native environments (AWS, Azure), relational and NoSQL databases (such as Snowflake or PostgreSQL), and API-based integration frameworks — with hands-on ability to work with analytical or scripting languages (e.g., Python, SQL) and translate technical trade-offs into product and business implications

Deep product intuition paired with a bias for validation and iteration

Experience building products related to the Performance Improvement Practice

Ability to clearly translate technical concepts, priorities, trade-offs for non-technical audiences

Strong storytelling skills : you can rally a team, align stakeholders, and inspire users

Experience building with LLMs or other AI tools

Additional skills and experience

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

Experience working closely with internal and external users to deeply understand, document, analyze, and synthesize user needs into product priorities, roadmap plans, and detailed specifications

Facility / aptitude with agile product development lifecycle for digital technologiesProven track record of building successful AI / tech products from ideation to product / market fit and scaling

Relevant experience or interest in digital solutions as a lever to drive business results

Personal passion and excitement to learn new technologies, market trends and how AI will change the Accelerated Performance Transformation Solution and more broadly, the Performance Improvement Practice

Advanced skills in facilitating and fostering consensus among diverse teams

Exceptional communication skills that enable building cross-functional relationships and managing projects across multiple teams; experience and proficiency creating high quality presentations

Demonstrated track record of leading diverse teams with a variety of skillsets and expertise, across the globe

Demonstrated problem solving and organization skills with a proven track record of being a self-starter (comfortable with what could be a remote supervisor and team)

Previous experience in consulting or advisory roles, with a demonstrated ability to engage with clients, understand their needs, and deliver value-added solutions

Personal attributes

Entrepreneurial and at-cause : knows how to prioritize what needs to be done and rallies colleagues to get things accomplished; "roll up the sleeves" type of attitude, with an eye for continuous improvement

A servant leader : track record of managing high-performing, service-oriented team members, motivating and developing colleagues above and below their own tenure and enabling their success

Future-oriented : appetite to advocate for the customer, disrupt and innovate

Collaborative : knows how to work with and through others to drive results and make change happen; well connected, with an extensive network of potentially relevant relationships

Fun : passionate yet humble — someone Bainies and clients enjoy interacting with

U.S. COMPENSATION INFORMATION

Compensation for this role includes base salary, annual discretionary performance bonus, 401(k) plan with an annual employer contribution based on years of service, and Bain's best-in-class benefits package (details listed below).

Some local governments in the United States require a good-faith, reasonable salary range to be included in job postings for open roles. The estimated annualized compensation for this role is as follows :

In Texas , the good-faith, reasonable annualized full-time salary range for this role is between ($182,000-219,500).

In Boston, Washington DC and Washington State, the good-faith, reasonable annualized full-time salary range for this role is between ($199,500-240,500).

In Atlanta , the good-faith, reasonable annualized full-time salary range for this role is between ($173,500-209,000).

In Chicago , the good-faith, reasonable annualized full-time salary range for this role is between ($191,00-230,000).

In Los Angeles, CA , the good-faith, reasonable annualized full-time salary range for this role is between ($199,500-240,500).

In New York City, San Francisco and Silicon Valley CA , the good-faith, reasonable annualized full-time salary range for this role is between ($217,000-261,500).

Placement within each range will vary based on several factors including, but not limited to, experience, education, certifications, training, and skill level.

Annual discretionary performance bonus

This role may also be eligible for other elements of discretionary compensation

4.5% 401(k) company contribution, which increases after 3 years of service and is 100% vested upon start date

Bain's comprehensive benefits and wellness program includes :

100% premium coverage for employee medical, dental, and vision insurance

Generous paid time off, including parental leave, sick time, and paid holidays

Fully vested 401(k) company contribution

Paid life and long-term disability insurance

Annual fitness reimbursement

Massachusetts Disclosure

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

For all other locations, the good-faith, reasonable annualized full-time salary range for this role is commensurate with competitive geographic market rates for this role and will vary based on several factors including, but not limited to experience, education, licensure / certifications, training and skill level.

J-18808-Ljbffr