{"id":1232470,"url":"https://alion.io/job/aanseacore-chief-data-architect","title":"Chief Data Architect","company":{"id":3801595,"name":"Aanseacore","domain":"aanseacore.com","url":"https://alion.io/company/aanseacore","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"head","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":25000,"max_usd":60000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":85},"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine 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Information Management, and Enterprise Integration.\n\n- Strong expertise in Enterprise Data Architecture, Data Governance, Master Data Management (MDM), Metadata Management, Data Modeling, Data Quality, Data Lineage, and Data Lifecycle Management.\n\n- Hands-on experience designing enterprise data platforms for Business Intelligence, Analytics, Reporting, AI, and Machine Learning.\n\n- Experience with enterprise platforms such as Oracle and other large-scale business applications.\n\n- Strong knowledge of data integration, canonical data models, interoperability standards, and enterprise information architecture.\n\n- Experience implementing DAMA-aligned data governance and lifecycle management practices.\n\n- TOGAF certification preferred; DAMA-DMBOK and other Data Architecture or Cloud certifications are an advantage.\n\n- Excellent leadership, stakeholder management, communication, and enterprise architecture governance skills.\n\nJob Responsibilities:\n\n- Define and execute the enterprise data architecture strategy aligned with business and digital transformation goals.\n\n- Establish and govern enterprise-wide data architecture standards, policies, and best practices.\n\n- Design and implement Data Governance frameworks, stewardship models, and data ownership processes.\n\n- Lead Master Data Management (MDM), Metadata Management, Data Quality, Data Lineage, and Data Lifecycle initiatives.\n\n- Develop enterprise data models, canonical models, and integration standards to ensure consistency across platforms.\n\n- Architect scalable data platforms supporting Business Intelligence, Analytics, Reporting, AI, and Machine Learning.\n\n- Define standards for data ingestion, transformation, storage, orchestration, cataloging, and access control.\n\n- Review data models, integration designs, and solution architectures to ensure compliance with enterprise standards.\n\n- Lead architecture reviews, technical workshops, and governance forums while providing hands-on guidance for complex architecture decisions.\n\n- Collaborate with Enterprise Architects, CIO, CDO, Security, Business, and Digital Transformation teams to align data architecture with organizational objectives.\n\n- Mentor technical teams, implementation partners, and vendors while ensuring adherence to enterprise architecture standards.\n\n- Drive continuous improvement of enterprise data architecture capabilities, governance processes, and data management practices.\nSkills\nData Architect, Big Data, Master Data Management, Data Management, Data Governance, Data Quality, Data 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