Platform Product & Delivery Owner - Data Layer

Platform Product & Delivery Owner - Data Layer

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Locations : Boston Atlanta London

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 Bring

Join a dynamic team transforming our organization into a data-driven enterprise! The Data Layer Team is where we build essential data connectors, data pipelines, and capabilities to empower our clients and colleagues with high-quality and reusable data. Our Data Layer Team focuses on creating scalable data solutions and advancing our data infrastructure that are the foundation of AI products that will drive informed decision-making across the company.

As the Data Layer Connectors & Ingestion Delivery Owner, you will oversee data engineering practices, data connectors, integrations, while driving continuous improvement, and ensuring alignment with data governance, security, and compliance standards.

You will lead the Platform Build & Connectors squad compose of data engineers, architects, and you will closely collaborate with cross-functional teams to ensure timely delivery and operational excellence.

Your responsibilities include defining the data layer technology ecosystem, supporting BCG's data strategy. You will ensure reliable data infrastructure with a focus on Security, Compliance, Operational Excellence, and customer satisfaction. The platforms you lead will enable and accelerate BCG's Gen AI/AI ambitions!

Among your responsibilities, you will:

• Technical Leadership & Strategic Roadmap
• Own and oversee the end-to-end engineering of data pipelines and data connectors, supporting patterns for data ingestion, file-based, and API-based integrations.
• Lead the strategy and architecture for activating structured, unstructured data and proprietary data that will power AI products.
• Champion best practices for orchestrating multi-cloud environments (AWS, Azure, GCP) to enhance platform performance, scalability, and cost efficiency.
• Implement robust security, observability, monitoring frameworks, and data governance to ensure data reliability, minimize downtime, and maintain compliance.
• Manage budget, implement charge-back models for platforms and services you provide to your customers.
• Lead & Scale High performing team
• Lead Platform Build & Connectors squad of Leads, Data Engineers, and Architects.
• Build technical mastery in your teams around data platform and engineering space.
• Foster a culture of accountability, collaboration, and data-driven innovation, empowering teams to deliver secure, scalable, cost-effective, and customer-centric solutions.
• Provide mentorship and professional development opportunities, ensuring the architectural team stays at the forefront of industry trends and practices, with focus on Data & AI
• Foster an agile delivery culture, enabling rapid iteration and deployment of data solutions to meet consultant and business needs.
• Engage and Manage Stakeholders Across BCG
• Proactively engage with senior stakeholders, Data Layer Technical Area Lead (TAL) and Data Layer Product Portfolio Lead (PPL), ensuring alignment of data platform priorities with business needs.
• Collaborate closely with BCG's C-Suite, executive directors, and BCG data team to align data platform strategy with strategic business objectives and communicate progress effectively.
• Cultivate strategic partnerships with external vendors, proactively explore emerging technologies and innovations within the data engineering space, and ensure solutions consistently meet quality, security, and performance standards.
• Deliver Business Value and Results
• Drive delivery of high-quality, scalable data products that directly support consultants in solving complex business challenges.
• Translate business goals into data layer outcomes by driving improvements in scalability, reliability, and security while managing costs.
• Ensure that AI solutions at BCG leverage accurate, reliable, and timely data to deliver maximum business impact.
• Establish clear KPIs focused on data product adoption, scalability, data quality, reliability, and security compliance.
• Continuously improve platform efficiency and scalability to rapidly meet evolving data demands across BCG.
  

• Driving data platform transformations with a focus on security, reliability, and scalability.
• Experience with high-volume data pipelines, including real-time streaming, event-driven microservices, and petabyte-scale data processing.
• Leading diverse, cross-functional teams to deliver scalable, high-performing, and cost-efficient solutions.
• Navigating complex stakeholder environments, building trust and alignment across senior leadership, including senior directors and cross-functional teams.
• Balancing delivery ownership with deep technical expertise in modern engineering practices, particularly in areas like data connectors, integration and security
  
  

• 10-12+ years of experience in data engineering, platform engineering, cloud infrastructure, or related technical product owner roles.
• Proven track record architecting and delivering enterprise-scale cloud data solutions, including data pipelines, data connectors, and integration
• Deep understanding of data governance, regulatory compliance, and best practices for securing sensitive and global datasets.
• Hands-on experience integrating advanced AI/ML capabilities into operational and analytical data platforms.
• Extensive knowledge of modern data orchestration and workflow technologies (e.g., Airflow, Kubeflow), and infrastructure automation frameworks (Terraform, CloudFormation).
• Demonstrated leadership in managing technical product roadmaps, agile delivery practices, and stakeholder management in complex environments.
  
  

Seniority level

• Seniority level

  Director

Employment type

• Employment type

  Full-time

Job function

• Job function

  Product Management and Marketing

• Industries

  Technology, Information and Internet

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