Bain: Data Architect Manager

Seeking a Data Architect Manager to work with consulting teams to understand and translate business problems, help to increase consulting staff’s knowledge of Advanced Analytics and Data Science, and develop/implement various data tools.

Company: Bain
Location: Atlanta, Boston, Chicago, or New York City
Position: Data Architect Manager

Apply online.


  • This is an opportunity to be a key leader in Bain’s expanding data science capability area. This position will be part of the Advanced Analytics Group (Bain’s team of advanced analytics, data science, and primary research experts).
    • Responsibilities will include working closely with Bain Partners, Bain Practice Areas, and the Technology Services Group (TSG) to extend and innovate our data and analytics capabilities.
    • This will include helping formulate and driving our evolving strategy on how to best support our clients on large data/heavily analytic initiatives.
    • Provide Enterprise Data Architecture expertise on Advanced Analytics strategy cases
    • Be an expert advisor in proposal discussions
    • Manage 1-3 Data Engineers and/or Specialists
  • The person in this role will need to:
    • Communicate effectively with analytics/data experts as well as business managers to assess opportunities and develop data driven solutions for Bain clients across a variety of sectors;
    • Help develop Advanced Analytics Intellectual Property and identify areas of new opportunity for data science and analytics for Bain and its clients;
    • Communicate with and educate both senior and junior colleagues to further embed data science and analytics across the firm and within our clients;
    • Help pilot and deploy new data management and analytics tools and platforms for Bain;
    • Advise Bain clients on best practices for enterprise data architecture and data governance, and managing analytical infrastructure at scale.
  • This position will be located in Atlanta, Chicago, Boston or NY


  • Work with consulting teams to understand business problems, translate them into data science projects and appropriately prioritize and execute.
  • Help to increase consulting staff’s knowledge of Advanced Analytics and Data Science.
  • Develop and/or implement tools and platforms for data acquisition, extraction, transformation, management, and manipulation of large and complex data sets.
  • Advise clients and consulting teams on enterprise data architecture, data management, and data governance best practices
  • Explore, model, mine, and experiment with data to answer critical business issues.
  • Support and train consulting teams in use of data and visualization tools to generate and communicate insights.
  • Train relevant AAG team members to support big data/data science initiatives.
  • Develop relationships with external data and analytics vendors and interact with as needed.
  • Provide training, documentation and other assistance to Bain’s consulting staff to support and expand the use of data science analytics.
  • Keep abreast of new and current data science techniques and technologies.


  • Advanced degree in a quantitative discipline such as Computer Science, Statistics, Mathematics, Engineering, Econometrics or Information Sciences such as business analytics or informatics.
  • 6+ years’ experience in enterprise data architecture and data engineering.
  • Experience with large enterprise data warehouse architecture design including logical and physical model development.
  • Knowledge and experience in Data Governance – understanding of domain data models and enterprise data models.
  • Knowledge of Master Data Management systems.
  • Experience with production and analytics ETL jobs.
  • Deep SQL skills and solid experience in relationship database.
  • Expertise in extracting and transforming large datasets; experience with ETL tools like Informatica, DataStage, Ab Initio, SSIS, Talend, and Pentaho desired.
  • Demonstrated experience with database technologies (e.g. Oracle, SAP, DB2, Teradata, MS SQL Server, Vertica, Greenplum, SAP HANA, MySQL).
  • Project experience with Hadoop ecosystem (e.g., Hive, HBase, Pig, Spark) desired.
  • Experience with NoSQL database technologies (e.g., MongoDB, Cassandra, CouchDB) a plus.
  • Experience with hybrid cloud platforms a plus.
  • Hands-on experience with production reporting and BI platforms a plus (e.g. Microstrategy, Qlik, Cognos, Tableau Server).
  • Machine Learning skills a plus.
  • Experience with building complex production systems with web front-ends and database backends a plus.
  • Must thrive in a fast paced environment and be able to work independently.
  • Excellent oral and written communication skills.
  • Ability to collaborate with people at all levels and with multi-office/region teams
  • Frequent Travel will likely be required
  • Strategic consulting experience a plus.