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Senior Director , Data and Intelligence

Intel

Senior Director , Data and Intelligence

full-timePosted: Aug 5, 2026Updated: Sep 1, 2026Bangalore, India

Job Description

Job Details:Job Description: Position OverviewWe are seeking a visionary Senior Director to lead our Enterprise Data & AI Enablement organization, reporting directly to the VP of AI and Data. This executive-level position will drive the strategic roadmap for data and AI capabilities across the enterprise, with deep focus on building robust data foundations that enable advanced AI applications. The successful candidate will lead cross-functional teams, collaborate extensively with AI leadership, and partner with senior executives to influence enterprise-wide data and AI strategy.Key ResponsibilitiesStrategic Leadership & VisionDefine and execute comprehensive data and AI enablement roadmaps in partnership with VP of AI and DataDrive enterprise data strategy that supports both traditional analytics and advanced AI/ML initiativesCollaborate with C-suite and senior leadership to align data capabilities with business objectivesInfluence organizational strategy through data-driven insights and AI readiness assessmentsData Foundation & Architecture ExcellenceData Strategy & Architecture: Define foundational data platforms, technologies, and reference architecture that scale across enterprise applicationsCore Data Solutions: Ensure accuracy, consistency, and lifecycle management of critical enterprise data including Customer, Supplier, Item/BOM, Finance, and Reference dataData Ingestion & Engineering: Oversee robust data movement capabilities (ETL/ELT), real-time streaming, and pipeline reliability at enterprise scaleAI-Ready Data CapabilitiesAI & Advanced Analytics Enablement: Provide cutting-edge tooling, environments, and expertise for predictive modeling and advanced AI applicationsKnowledge Products Development: Lead creation of semantic layers, unifying ontologies, and hierarchical Master Control Programs (MCPs)Structured & Unstructured Data Integration: Enable AI accessibility across diverse data types and formatsData Foundation & BI Enablement: Design optimized data models and warehousing/lake house environments supporting both traditional BI and AI workloadsQuality, Governance & EnablementData Quality & Readiness: Drive comprehensive data governance, quality frameworks, and conversion strategies ensuring trusted, compliant data assetsData Literacy: Champion organization-wide data literacy initiatives to accelerate transformation and unlock business valueQualifications:Required QualificationsTechnical Expertise12+ years of progressive data leadership experience with 5+ years in executive rolesProven experience with large-scale data platforms and enterprise application integrationDeep expertise in enterprise applications including Salesforce, Workday, ERP systemsHands-on experience with ECC to S/4HANA upgrades and enterprise transformation projectsStrong background in data architecture, warehousing, and modern lakehouse technologiesExperience building AI-ready data foundations including semantic layers and knowledge graphsLeadership & StrategyDemonstrated ability to drive enterprise-wide data strategy and influence senior leadershipProven track record of building and scaling high-performing data teamsExperience partnering with AI/ML teams to enable advanced analytics capabilitiesStrong background in data governance, quality management, and regulatory complianceBusiness AcumenExperience working with large enterprise applications and complex integration scenariosProven ability to translate business requirements into scalable data solutionsTrack record of driving automation, reliability, and operational excellenceExperience managing multi-million dollar budgets and complex vendor relationshipsPreferred QualificationsAdvanced degree in Computer Science, Data Science, Engineering, or related fieldExperience with modern data stack technologies and cloud platformsBackground in AI/ML model deployment and MLOps practicesExperience in regulated industries with complex compliance requirementsWhat We OfferOpportunity to shape enterprise data and AI strategy at scaleDirect partnership with AI leadership team and C-suite executivesLeadership of diverse, high-impact teams driving organizational transformationCompetitive executive compensation package including equity participationAccess to cutting-edge technologies and industry-leading data platformsThis role represents a unique opportunity to drive the future of data and AI enablement in a large enterprise environment, building the foundation that will power next-generation AI applications while ensuring robust, scalable, and governed data operations. Job Type:Experienced HireShift:Shift 1 (India)Primary Location: India, BangaloreAdditional Locations:Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of TrustThis role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.Work Model for this RoleThis role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.*ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

Locations

  • Bangalore, India

Skills Required

  • modern data stack technologiesintermediate
  • AI/ML model deploymentintermediate
  • regulated industries with complex compliance requirementsintermediate

Preferred Qualifications

  • Advanced degree in Computer Science, Data Science, Engineering, or related field (degree in computer science)
  • Experience with modern data stack technologies and cloud platforms (experience)
  • Background in AI/ML model deployment and MLOps practices (experience)
  • Experience in regulated industries with complex compliance requirements (experience)
  • Advanced degree in Computer Science, Data Science, Engineering, or related field (degree in computer science)
  • Experience with modern data stack technologies and cloud platforms (experience)
  • Background in AI/ML model deployment and MLOps practices (experience)
  • Experience in regulated industries with complex compliance requirements (experience)

Benefits

  • general: Opportunity to shape enterprise data and AI strategy at scale
  • general: Direct partnership with AI leadership team and C-suite executives
  • general: Leadership of diverse, high-impact teams driving organizational transformation
  • general: Competitive executive compensation package including equity participation
  • general: Access to cutting-edge technologies and industry-leading data platforms
  • general: Opportunity to shape enterprise data and AI strategy at scale
  • general: Direct partnership with AI leadership team and C-suite executives
  • general: Leadership of diverse, high-impact teams driving organizational transformation
  • general: Competitive executive compensation package including equity participation
  • general: Access to cutting-edge technologies and industry-leading data platforms
  • general: This role represents a unique opportunity to drive the future of data and AI enablement in a large enterprise environment, building the foundation that will power next-generation AI applications while ensuring robust, scalable, and governed data operations.

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