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Please submit your resume in English to be considered.
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 top ranked consulting firm on Glassdoor Best Place to Work list and have earned the #1 overall spot a record seven times.
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
About the Commercial Excellence practice
Bain's B2B Commercial Excellence Practice works with its clients to develop a clear GTM strategy including building an in-depth understanding of market opportunity, developing effective GTM sales coverage and capacity models to attack that opportunity, and creating an industrialized sales execution capability to ensure commercial success.
WHERE YOU'LL FIT WITHIN THE TEAM
About Coro
Bain's Coro business unit is the productization arm of the Customer practice. Coro brings together a broad array of capabilities – across product engineering, infrastructure and DevOps, Data Sciences and AI Engineering, and RevTech – combined with deep expertise in B2B commercial excellence, consulting services delivery and product management. The Coro team is on a mission to innovate, industrialize and scale-up unique and proprietary data and analytics solutions to help our clients make better decisions across all their go-to-market activities. By developing proprietary, AI accelerated, solutions across a range of universal go-to-market challenges – such as bottoms-up commercial opportunity mapping and granular profitability analysis – Coro has created a set of highly differentiated solutions which enable our teams to deliver better insights to our clients.
WHAT YOU'LL DO
The Manager, Data Products, Coro (BizMap Data Steward) owns the quality, reliability, and strategic evolution of Bain's BizMap platform — a proprietary business directory powering 100M+ entity records. You will lead external vendor relationships, define data ingestion and validation strategy, and partner closely with engineering and product teams to scale the platform during a critical build phase. This role is pivotal to maintaining BizMap's data integrity, delivering high-quality insights to case teams, and driving continuous improvements across Bain's proprietary data ecosystem.
As a Data Steward, you will serve as the primary liaison between Bain and data vendors, coordinate ingestion workflows, monitor data quality, and help shape the evolution of BizMap's data content to meet emerging business needs.
Vendor Management
Data Decisions & Signal Development
Data Quality & Validation
Data Improvements
Stakeholder Engagement & Internal Advocacy
ABOUT YOU
This role follows a hybrid model, requiring in-office presence at least 2 days per week.
What Success Looks Like
Please submit your resume in English to be considered.
Job ID: 147317101
Skills:
Agile Methodologies, Data Governance, Scrum, Product management documentation tools, Issue tracking and resolution processes, Data quality principles, Kanban
Skills:
structured notes , Macros, Alteryx, Tableau, Visual Basic, Product Control, Excel, Python, Financial Markets, Word, Powerpoint, Derivatives, Ms Office Suite, Access databases, Rates risk
Skills:
Alteryx, Tableau, Azure, Microsoft Excel, Sql, Python, AWS, GenAI, Powerpoint
Skills:
Java, Oracle Weblogic, Application Monitoring, Pl Sql, Soap, J2EE, Firewalls, Angular, Microservices, Teamsite, React, Loadbalancer, REST, Kony, Linux, Shell scripting, Livesite, Oracle, Temenos, external DNS
Skills:
Power Bi, data mining, Pyspark, Linear Regression, Tableau, Sql, Tensorflow, Sklearn, Pandas, Pytorch, Matplotlib, Clustering, Python, Logistic Regression, machine learning frameworks, non-linear regression, classification techniques, k-NN, dimensionality reduction, segmentation techniques, statistical modeling techniques
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