BCG—Chapter Lead & Senior Manager – Data Engineering

Job description

Description: Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do In a world where data is critical to BCG's success, we are building first-class, foundational data capabilities and products that enable better decision-making, generate new insights, and drive operational excellence across the firm. Within this vision, LEAP is building BCG's new Learning Functional Data product to power the firm's learning and development needs with trusted, well-integrated data. We are looking for a Chapter Lead & Manager – Data Engineering to lead the Data Engineering and Data Ingestion function within LEAP. You will define the standards and guardrails for how we build, create strategic and well-constructed data pipelines aligned to our enterprise-wide data strategy, and grow a high-performing team that delivers the most important data ingestion, integration and analytics use cases for the Learning Functional Data product. Reporting to the Technical Team Lead (TTL) of LEAP, you will lead a team of 5–10 external Data Engineers and Data Ingestion Engineers across the delivery lifecycle, and partner closely with Chapter Leads in other squads, as well as the QA and Business Analysis (BA) teams, to deliver against squad commitments. Your key accountabilities will include: - Lead, coach, and develop a team of 5–10 external Data Engineers and Data Ingestion Engineers, managing capacity, performance, and technical growth. - Define data engineering standards, best practices, and guardrails for the chapter, and ensure they are consistently adopted across the squad. - Design and build scalable, secure, and well-integrated data pipelines and ingestion frameworks in line with the enterprise-wide data strategy. - Partner with the QA team to reduce defect leakage, improve release quality, and reduce time to fix defects. - Partner with the BA team to translate business and functional requirements into robust technical solutions for the Learning Functional Data product. - Collaborate with Chapter Leads across other squads to align on shared standards, promote reuse, and balance business needs against technical priorities. - Increase sprint velocity through modern engineering practices such as DevSecOps, CI/CD, and cloud-oriented delivery. - Contribute towards hands-on design, development, and code review, acting as a technical role model for the team. What You'll Bring Education and Certifications - Bachelor's or Master's degree in Computer Science, Engineering, Information Sciences, or a related field. - 12+ years of relevant IT experience with a major focus on data engineering / data-related projects, preferably in large international organisations, including several years leading and managing engineering teams. Functional/Technical Skills - Strong hands-on experience designing and building scalable data pipelines and ingestion frameworks. - Strong SQL and ETL/ELT experience (e.g., DBT, Talend, FiveTran, or similar). - Experience with cloud data platforms and warehouses such as Snowflake, AWS, and/or Azure. - Experience leading Agile development teams and reviewing design and implementation against quality standards. - Experienced in software/data delivery including CI/CD and related DevSecOps practices on cloud-based platforms. - Solid understanding of data modelling, data quality, testing, diagnostics, and performance tuning. - Ability to develop process documentation, technical manuals, and standards. - Familiar with Scrum and Kanban delivery methodologies and cross-functional Agile teams (Product Owners, QA, BA, Architects, data SMEs). Who You'll Work With The Chapter Lead & Manager – Data Engineering is a position within LEAP, part of BCG's digital products organisation. Reporting to the Technical Team Lead (TTL) of LEAP, you will lead a team of external Data Engineers and Data Ingestion Engineers and work closely with the QA team, the Business Analysis (BA) team, Product Owners, and Chapter Leads across other squads to deliver the Learning Functional Data product. You will also share and adopt best practices as part of the Chapter Leads community. Additional info YOU'RE GOOD AT To be successful, you should bring sound data engineering and delivery experience, coupled with the ability to lead people and drive technical governance, integration, and cloud-oriented strategies. Ideally, you thrive in an environment that requires strong problem solving, analytical, and decision-making skills, alongside collaboration and open communication. - Exceptional people leadership — building, coaching, and retaining high-performing engineering teams. - Verbal and written communication at both a business and technical level. - Translating business and functional requirements into scalable technical solutions. - Defining and evangelising data engineering standards and a data-as-a-product mindset. - Building relationships across squads and functions; a reliable team player who shows consideration and respect for others. - High level of initiative, self-motivation, resourcefulness, and collaboration. - Performing successfully in a fast-paced, multi-cultural, and service-oriented environment. - Exhibiting ownership and accountability for squad deliverables, with strong attention to detail and prioritisation. - Being flexible to be available outside of normal business hours for international calls as needed. At BCG, our people and relationships are at the heart of everything we do. We believe that in-person collaboration plays an important role in our culture, mentorship, and professional development. For this role, you will generally be expected to work from a BCG office or in person with clients on a regular basis (typically around 50% of working time), depending on business needs and in line with local policies and practices. We aim to provide a dynamic and collaborative environment that fosters connection and teamwork. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify. Skills: data pipeline design, data ingestion frameworks, sql, etl, data modeling, data quality management, devsecops, ci/cd, cloud data platforms, snowflake, aws, azure, agile, data engineering standards, data analytics, team leadership, talend, dbt, fivetran, scrum, kanban, process documentation, technical governance, cross-functional collaboration, stakeholder management, business analysis