{"id":3200976,"url":"https://alion.io/job/bcg-x-lead-delivery-ai-data-engineer","title":"Lead Delivery AI Data Engineer","company":{"id":655,"name":"Boston Consulting Group","domain":"bcg.com","url":"https://alion.io/company/bcg-x","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":35000,"max_usd":75000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"GCP","optional":false},{"name":"Hadoop","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false}],"status":"live","first_seen_at":"2026-10-21T00:00:00Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-29T03:19:28Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"Who We Are\nBoston ConsultingGroup 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.\nTo 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.\nWe Are BCG X\nWe’re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world’s most complex problems. Leveraging BCG’s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.\nWhat You'll Do\nAs a part of BCG’s X Delivery team you will work closely with consulting teams on a diverse range of advanced data and AI topics. You will have the opportunity to leverage analytical methodologies to deliver value to BCG's Consulting (case) teams and Practice Areas (domain) through providing subject matter expertise on Data engineering and accelerated execution support.\nYou will collaborate with case teams to gather requirements, specify, design, develop, deliver, and support data and AI solutions serving client needs. You will provide technical support through deeper understanding of relevant data management solutions and processes to build high quality and efficient analytics solutions.\nYOU'RE GOOD AT\nOwning the design, build, and operation of production-grade data platforms and pipelines across cloud, hybrid, and on-premise environments.\nLeading end-to-end data engineering delivery across ingestion, transformation, data modeling, orchestration, serving and productionization for analytics and AI use cases.\nArchitecting scalable batch, streaming, real-time, and API-driven data solutions that are reliable, maintainable, and fit for business-critical decisioning.\nDesigning data foundations that are trusted and reusable with strong practices across data quality, governance, cataloging, lineage, and access control.\nLeading GenAI-enabled implementations with strong architectural judgment and hands-on credibility across RAG, retrieval design, LLM application patterns, workflow design, evaluation and production deployment.\nWriting, reviewing and raising the bar on engineering work in Python, Java, or Scala, with strong depth in distributed data systems and modern data platforms.\nBuilding reusable data engineering assets and implementation patterns that accelerate delivery across client engagements.\nTranslating ambiguous business problems into scalable data and AI engineering solutions in partnership with senior clients, BCG consulting teams, and cross-functional technical stakeholders.\nFunctional Skills:\nCommunicate with clarity, confidence, and executive presence across senior client stakeholders, consulting teams, and technical teams.\nLead tough conversations on trade-offs, scope, delivery risk, platform choices, and implementation complexity with sound judgment and credibility.\nBring a strong consulting mindset: structured problem solving, pragmatic decision-making, and the ability to navigate ambiguity without losing momentum.\nLead and mentor engineers with high standards for architecture, code quality, documentation, DevOps, governance and production readiness.\nWhat You'll Bring\nBachelor’s or Master’s degree in Computer Science, Engineering, Technology, Data Science or a related technical field.\n8+ years of relevant experience in data engineering, data platforms, or enterprise AI/data solution delivery.\nProven experience leading production-grade data engineering programs, with hands-on involvement in architecture, implementation, code review, deployment, and operationalization.\nExpert proficiency in at least one major programming language such as Python, Java, or Scala.\nStrong understanding of distributed computing and modern data platforms, including Spark-based processing, performance tuning, and large-scale data system design.\nDeep experience with technologies such as Spark, DBT, Databricks, Snowflake, Hive, Hadoop or equivalent big data and analytics ecosystems.\nStrong cloud engineering experience across AWS, Azure, or GCP, with expertise in at least one cloud ecosystem.\nOn-ground exposure to GenAI implementation patterns, including RAG, retrieval pipelines, LLM application architecture, workflow design, evaluation, monitoring and deployment.\nResponsible use of AI tools across the SDLC to improve engineering productivitywhile maintaining quality, security and delivery accountability.\nHands-on experience building trusted data foundations, including data modeling, pipeline productization, orchestration, CI/CD, containerization and observability.\nPractical experience with data governance, metadata, cataloging, lineage, privacy and security in enterprise data environments.\nStrong client-facing communication skills, with the ability to influence senior stakeholders and handle ambiguity, trade-offs, and difficult delivery conversations.\nGood to have:\nPrior consulting experience or experience working directly with senior stakeholders driving solution delivery.\nExperience in Retail, Telecom or other data-rich industries with complex enterprise data landscapes.\nExperience with NoSQL, streaming, messaging and event-driven architectures.\nExposure to ML engineering or advanced analytics integration in production environments.\nExperience making pragmatic build-versus-buy recommendations across enterprise data and GenAI platforms.\nGood understanding of enterprise architecture transformations like Lakehouse and Data Mesh, along with its advantages and drawbacks.\n#BCGXjob#LI-RA1\nWho You'll Work With\nOur technology consultants and specialists partner with our clients and colleagues to build and implement digital solutions through a broad spectrum of activities. Technology jobs and engineering jobs include design of IT architectures, large-scale transformation, agile development, software engineering, cybersecurity consulting, and risk management.\nBoston 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.\nBCG is an E - Verify Employer. 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