{"id":3200994,"url":"https://alion.io/job/bcg-x-global-it-data-architect-senior-manager","title":"Global IT Data Architect Senior Manager","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":"staff","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":66000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":17},"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Alteryx","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fivetran","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Kanban","optional":false},{"name":"Master Data Management","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Talend","optional":false},{"name":"A2A","optional":true},{"name":"AI Agents","optional":true},{"name":"GraphRAG","optional":true},{"name":"Human-in-the-Loop","optional":true},{"name":"Hybrid Search","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LLM","optional":true},{"name":"LLM Guardrails","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"RAG","optional":true},{"name":"Semantic Search","optional":true}],"status":"live","first_seen_at":"2026-10-21T00:00:00Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-31T07:38:43Z","board_verified":true,"closed_at":null,"days_open":10,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":10},"description":"Who We Are\nBoston 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.\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.\nWhat You'll Do\nDefine architecture for key domains within the Data Products Portfolio.\nEvaluate data related tools and technologies and recommend appropriate implementation patterns and standard methodologies to ensure our Data ecosystem is always modern.\nCollaborate with Enterprise Data Architects in establishing and adhering to enterprise standards while also performing PoCs to ensure those standards are implemented.\nProvide technical expertise and mentorship to Data Engineers and Data Analysts in the Data & Solution Architecture.\nDevelop and maintain processes, standards, policies, guidelines, and governance to ensure that a consistent framework and set of standards is applied across the company.\nCreate and maintain conceptual / logical and Physica; data models to identify key business entities and visual relationships.\nWork with business and IT teams to understand data requirements.\nMaintain a data dictionary consisting of table and column definitions.\nReview Architecture with both technical and business audiences.\nPartner with Technology, Data Stewards and various Products teams in an Agile work stream while meeting program goals and deadlines.\nChampion architecture across the project lifecycle - working closely with Product Owners, Business, and BI&A teams as a trusted technical partner to shape and steer key decisions.\nAbility to put forward well-researched design approaches with clear pros and cons, evaluate and test new platform capabilities, and establish modern architectural ways of working across the team.\nAbility to craft & influcence well-structured proposals and present architectural recommendations persuasively, building stakeholder confidence and driving adoption of scalable, future-ready solutions.\nLead to design / build new models to efficiently deliver the candidate and recuitment results to senior management.\nWhat You'll Bring\nEssential Education\nBachelor's degree or equivalent combination of education and experience.\nBachelor's degree in information science, data management, computer science or related field preferred. \nEssential Experience & Job Requirements\n12+ years of IT experience with major focus on data warehouse / database related projects.\nExpertise in cloud data platforms and databases like Snowflake, Redshift, BigQuery, Databricks, data catalog, MDM etc.\nExpertise in writing SQL and database procedures.\nProficient in designing solution architecture factoring in all integration points, data flows and security/vulnerabilities. \nProficient in Data Modelling - conceptual, logical, and physical modelling.\nProficient in documenting all the architecture related work performed.\nHands on experience in data storage, ETL / ELT and data analytics tools and technologies e.g., Talend, dbt, Attunity, Golden Gate, Fivetran, APIs, Tableau, Power BI, Alteryx etc.\nExperienced in Data Warehousing design / development and BI / Analytical systems.\nExperience working projects using Agile methodologies.\nStrong hands-on experience with data and analytics data architecture, solution design, and engineering experience.\nExperience with Cloud Big Data technologies such as AWS, Azure, GCP, Snowflake, BigQuery, and Databricks.\nExperience with Python would be preferable.\nExperience working with agile methodologies (Scrum, Kanban) and Meta Scrum with cross-functional teams (Product Owners, Scrum Master, Architects, and data SMEs).\nReview existing databases, data architecture, data models across multiple systems and propose architecture enhancements for cross compatibility and target systems.\nExcellent written, oral communication and presentation skills to present architecture, features, and solution recommendations. \nGOOD TO HAVE: GENAI, AGENTIC AI & EMERGING ARCHITECTURE CAPABILITIES\nThese GenAI capabilities are optional / preferred and are captured separately from the core Data Architect requirements above.\nHands-on experience designing, evaluating, or supporting GenAI / LLM-enabled solutions, including proofs of concept and production-oriented architecture patterns.\nUnderstanding of Agentic AI concepts, multi-step orchestration, tool-using AI agents, and human-in-the-loop design considerations.\nExperience with retrieval architectures such as RAG, GraphRAG, hybrid search, semantic search, and context-grounding approaches for enterprise use cases.\nFamiliarity with vector databases, knowledge graphs, metadata-rich knowledge stores, and enterprise knowledge base design for AI applications.\nExposure to AI application frameworks and orchestration tools such as LangChain and LangGraph.\nAwareness of agent-to-agent interaction patterns, A2A concepts, model context management (MCP), and emerging interoperability standards such as MCP.\nExperience evaluating data readiness for GenAI use cases, including chunking strategy, retrieval quality, data lineage, access controls, and content governance.\nUnderstanding of prompt design, evaluation approaches, observability, guardrails, safety, and responsible AI controls in enterprise environments.\nAbility to partner with product, engineering, architecture, and governance teams to shape scalable GenAI-enabled data products and platforms.\nWho You'll Work With\nGlobal functional portfolio technical leaders (Finance, HR, Marketing, Legal, Risk, IT), product owners, functional area teams across levels.\nGlobal Data portfolio Management & teams (Enterprise Data Model, Data Catalog, Master Data Management).\nConsulting and internal Data Tribe teams across BCG.\nAdditional info\nYou're Good at:\nDesign, document & train the team on the overall processes and process flows for the data products’ architecture.\nResolve technical challenges in critical situations that require immediate resolution.\nDevelop relationships with external stakeholders to maintain awareness of data and security issues and trends.\nReview work from other tech team members and provide feedback for growth.\nImplement Data Architecture and Data security policies that align with governance objectives and regulatory requirements.\n\"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.\nFor 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.\nWe aim to provide a dynamic and collaborative environment that fosters connection and teamwork.\"\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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