Locations: Boston | Atlanta

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

Join a dynamic team transforming BCG into a data-driven organization! The Data Team is where we build essential data platforms, products and capabilities to empower our clients and colleagues with high-quality, actionable insights. Our Data Portfolio Team focuses on creating scalable data solutions and advancing BCG's data infrastructure to drive informed decision-making across the company.

We're looking for a Technical Area Lead (TAL) for the Data Portfolio to set and implement the strategic vision for BCG's data ecosystem, including data engineering & governance. This role requires translating business needs into robust data solutions and owning the data strategy, architecture, and engineering excellence within the data portfolio. This includes accountability for reliable data infrastructure, data governance, and driving data enablement with a commitment to Security, Compliance, Operational Excellence, and Customer Satisfaction.

As a Data Portfolio TAL, you will drive innovation, collaborate with cross-functional teams, and shape data product roadmaps, keeping BCG at the forefront of data engineering best practices and technology.

Among your responsibilities, you will:

Lead the Data Technology Strategy for BCG's Data Portfolio:

• Define and drive an integrated data strategy aligned with BCG's goals, including cloud-based data warehousing, real-time data processing, and data governance initiatives.
• Champion the adoption of emergent data technologies and methodologies, such as AI-driven data processing, machine learning pipelines, and automated data integration.
• Collaborate with executive leadership to shape BCG's data infrastructure roadmap, ensuring alignment with business goals and competitive advantage.
• Assess and respond to evolving data trends, developing a proactive data strategy that facilitates growth and scalability.
• Implement governance frameworks for data management, ensuring adherence to industry best practices and regulatory requirements.

Deliver business results and customer insight:

• Partner with data science, analytics, and engineering teams to define data requirements, performance OKRs, user stories, and data quality standards.
• Lead the technical execution of data-centric initiatives, improving data accessibility, reliability, and agility for BCG users.
• Work closely with data engineering teams to ensure high-quality, timely delivery of data features and improvements, addressing blockers or challenges.
• Foster integration across BCG's data assets to streamline data availability, minimize redundancies, and deliver cohesive data solutions across the organization.
• Oversee the data portfolio budget, driving cost optimization and strategic investment allocation for data platforms and tools.

Empower and enable Squads to realize their missions:

• Lead and mentor a team of data engineers, architects, and analysts, providing ongoing feedback, support, and development opportunities.
• Promote a culture of collaboration, continuous learning, and innovation within the team.

Drive End-User Engagement and Relationship Management:

• Actively engage with internal users to understand their data needs, gather feedback, and validate data solutions.
• Build strong relationships with business stakeholders, serving as their advocate within WWIT.
• Communicate data updates and roadmap developments to stakeholders, maintaining transparency on upcoming changes.

Optimize the Data Lifecycle:

• Lead a comprehensive observability strategy, implementing data monitoring and management tools to ensure data quality and availability.
• Analyze data performance metrics, incorporating user feedback and industry trends to optimize and innovate data services.
• Drive projects focused on enhancing data usability, resilience, and security, leveraging automation and AI where beneficial.
• Collaborate with Information Security to ensure a robust security posture and compliance with data regulations.

YOU'RE GOOD AT:

• Advanced Technical Proficiency: Expertise in data architecture, data warehousing, and cloud-based data platforms, with experience in technologies like Azure Synapse, BigQuery, or Snowflake.
• Client-Centric Mindset: Proven ability to deliver reliable, scalable data solutions, with a track record of improving data access, insights, and performance.
• Cross-Functional Collaboration: Demonstrated success in driving data initiatives and working with teams across data science, engineering, and business functions.
• Analytical Thinking: Strong analytical skills, experienced in using monitoring tools for data performance tracking and cost-benefit analyses.
• Data-Driven Leadership: Expertise in data strategy and migrations, including experience with ETL processes, real-time data streaming, and data lake implementations.
• Effective Communication: Skilled at conveying complex data concepts to varied audiences and aligning stakeholders around a data vision.

What You'll Bring

• 15+ years of technical experience in IT and Data services, with at least 5 years in strategic leadership overseeing data engineering or data architecture.
• Proven experience in designing, deploying, and optimizing large-scale data solutions, including data lakes, cloud data warehouses, and ETL frameworks.
• In-depth understanding of data governance, regulatory compliance, and security in data management.
• Expertise with modern data engineering technologies, including Spark, Kafka, and data orchestration tools like Airflow.
• Strong background in managing and developing diverse data teams, with a commitment to fostering innovation and responsiveness to industry changes.

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.
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