Expert Senior Manager, Data Sciences, Software and Data Services, Coro

About Us

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About the Role

The Commercial Excellence practice at Bain works with clients to develop a clear go-to-market (GTM) strategy by building an in-depth understanding of market opportunity, designing effective sales coverage and capacity models, and creating industrialized sales execution capabilities. Coro’s software and data solutions are a critical part of this approach.

The Coro business unit integrates Bain’s proprietary suite of software-as-a-service (SaaS) and data-as-a-service (DaaS) tools, including cloud-based software, online capability assessments, and advanced analytics focused on enabling Commercial Excellence for B2B companies.

As an Expert Senior Manager, Data Science, you will lead data science delivery and methodology across Coro’s product suite. You will set the analytical approach on complex client engagements, lead delivery teams, and determine when bespoke analyses should become productized capabilities. This is a senior, client-facing role where you will work directly with Bain partners and client executives, defending methodologies and driving impactful recommendations.

Your work will power Coro’s product suite, including MoneyMap® (a granular, bottoms-up view of market opportunity) and repeatable analytics workflows for B2B go-to-market challenges such as opportunity mapping, indirect channel growth, and profitability analysis. The role spans propensity and predictive scoring, TAM and market sizing, entity resolution, data matching, and GenAI-driven classification and enrichment at scale. You will also own the analytics and delivery of pricing products like ProfitCube.

Beyond client work, you will help build the team’s capability through recruiting, coaching, and raising standards, aligning with Bain’s apprenticeship model. You will collaborate with major AI ecosystem partners on real client deployments and shape how emerging capabilities are applied in commercial settings.

Responsibilities

• Lead the delivery of Coro data science solutions across multiple concurrent client engagements, owning scope, methodology, quality, and pace, and stepping in personally for complex analytical problems.
• Collaborate with and influence Bain case teams, partners, and senior client executives to frame commercial problems and translate them into analytical approaches and clear business recommendations.
• Develop and deploy production machine learning and analytical models for Coro solutions, including propensity and predictive scoring, TAM and market opportunity sizing, customer segmentation, entity resolution, data matching, and enrichment pipelines using third-party data sources.
• Own the analytics and delivery of Coro’s pricing products, including ProfitCube.
• Set the technical direction for GenAI-enabled analytical workflows, including LLM-based classification, enrichment, and validation, and establish standards for prompt design, evaluation, and output quality assurance.
• Develop Coro intellectual property and identify opportunities to extend the product suite by converting repeatable analyses into reusable frameworks, models, and components.
• Work with Coro product managers and practice leadership to shape the roadmap, prioritize analytical features, and design optimal product delivery approaches.
• Act as an expert advisor in proposal, pre-sales, and pitch discussions, scoping analytical approaches, sizing work, and supporting commercial conversations with clients.
• Lead and develop onshore and offshore delivery teams, providing coaching on problem-solving, work planning, and data science techniques, and engaging constructively in mutual feedback processes.
• Stay abreast of new data science techniques and technologies, assessing their potential to create advantages for clients and products.
• Share learnings and drive adoption of best practices across the Coro and broader data science community, fostering a collaborative and attractive work environment.
• Lead recruiting and onboarding of team members as needed, and identify opportunities to support the growth and scaling of the Coro business unit.

Requirements

• Advanced degree in a quantitative discipline such as Computer Science, Engineering, Econometrics, Statistics, or Information Sciences (e.g., business analytics or informatics).
• 8–10 years of experience in analytics.
• 3+ years of experience managing data scientists.
• Experience shipping production, enterprise-scale data products.
• Track record of leading and collaborating on strategic initiatives and owning client relationships or workstreams end-to-end.
• Experience in B2B commercial or go-to-market analytics.
• Strong interpersonal and communication skills, including the ability to explain and discuss technical concepts with colleagues and clients from diverse disciplines.

Skills

• Solid knowledge of supervised and unsupervised machine learning algorithms, including classifiers, cluster analysis, dimension reduction, regression, sequence modeling, NLP/NLU, word and document embeddings, self-attention, and transformers.
• Experience with entity resolution, fuzzy matching, and deduplication across disparate third-party data sources.
• Experience with large language models, generative AI applications, and prompt engineering for data classification, enrichment, and analysis.
• Experience with MLOps, including scalable development to deployment of complex data science workflows.
• Experience with model explainability and interpretability techniques.
• Proficiency in Python and SQL.
• Experience with machine learning frameworks and tools (e.g., scikit-learn, XGBoost, pandas, NumPy).
• Experience with ETL processes, data pipeline development, and relational databases at scale.
• Experience with large-scale distributed computing and cloud platforms such as AWS, Azure, or GCP.
• Experience with visualization platforms such as Tableau.

Preferred Qualifications

• MBA or PhD in a technical field.
• Background in consulting, professional services, or B2B analytics environments.
• Experience with pricing or profitability analytics in a B2B setting.
• Experience supporting deployment of SaaS or DaaS solutions with clients.

Schedule

This role requires a minimum of three days per week working in person, either at a client location or at your Bain home office. Willingness to travel to client locations is expected (20–40%, with potential peaks of 60%).

Pay

Compensation for this role includes base salary, an annual discretionary performance bonus, a 401(k) plan with an annual employer contribution based on years of service, and a comprehensive benefits package.

In California, Washington state, Washington DC, New York, Illinois, Georgia, Texas, and Massachusetts, the estimated annualized full-time salary range for this role is $164,500–$219,000. Placement within this range varies based on experience, education, licensure/certifications, training, and skill level. This role may also be eligible for other discretionary compensation elements.

Benefits

• 4.5% 401(k) company contribution, increasing after 3 years of service (100% vested upon start date).
• 100% employer-paid premiums for medical, dental, and vision programs.
• Generous paid time off, including parental leave, sick leave, and paid holidays.
• Paid life and long-term disability insurance.