Senior Director , Data and Intelligence

Posted One Month Ago
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Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Artificial Intelligence • Cloud • Information Technology • Software
Creating world-changing technology that enriches the lives of every person on earth.
The Role
Senior executive to lead enterprise Data & AI Enablement: set strategy and roadmap, build scalable data foundations (warehouses/lakehouses), oversee data ingestion/streaming and governance, enable AI-ready datasets (semantic layers, knowledge graphs), drive data quality and literacy, partner with C-suite and AI teams, and manage budgets and vendor relationships.
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Job Details:

Job Description: 

Position Overview

We 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 Responsibilities

Strategic Leadership & Vision

  • Define and execute comprehensive data and AI enablement roadmaps in partnership with VP of AI and Data

  • Drive enterprise data strategy that supports both traditional analytics and advanced AI/ML initiatives

  • Collaborate with C-suite and senior leadership to align data capabilities with business objectives

  • Influence organizational strategy through data-driven insights and AI readiness assessments

Data Foundation & Architecture Excellence

  • Data Strategy & Architecture: Define foundational data platforms, technologies, and reference architecture that scale across enterprise applications

  • Core Data Solutions: Ensure accuracy, consistency, and lifecycle management of critical enterprise data including Customer, Supplier, Item/BOM, Finance, and Reference data

  • Data Ingestion & Engineering: Oversee robust data movement capabilities (ETL/ELT), real-time streaming, and pipeline reliability at enterprise scale

AI-Ready Data Capabilities

  • AI & Advanced Analytics Enablement: Provide cutting-edge tooling, environments, and expertise for predictive modeling and advanced AI applications

  • Knowledge 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 formats

  • Data Foundation & BI Enablement: Design optimized data models and warehousing/lake house environments supporting both traditional BI and AI workloads

Quality, Governance & Enablement

  • Data Quality & Readiness: Drive comprehensive data governance, quality frameworks, and conversion strategies ensuring trusted, compliant data assets

  • Data Literacy: Champion organization-wide data literacy initiatives to accelerate transformation and unlock business value

Qualifications:

Required Qualifications

Technical Expertise

  • 12+ years of progressive data leadership experience with 5+ years in executive roles

  • Proven experience with large-scale data platforms and enterprise application integration

  • Deep expertise in enterprise applications including Salesforce, Workday, ERP systems

  • Hands-on experience with ECC to S/4HANA upgrades and enterprise transformation projects

  • Strong background in data architecture, warehousing, and modern lakehouse technologies

  • Experience building AI-ready data foundations including semantic layers and knowledge graphs

Leadership & Strategy

  • Demonstrated ability to drive enterprise-wide data strategy and influence senior leadership

  • Proven track record of building and scaling high-performing data teams

  • Experience partnering with AI/ML teams to enable advanced analytics capabilities

  • Strong background in data governance, quality management, and regulatory compliance

Business Acumen

  • Experience working with large enterprise applications and complex integration scenarios

  • Proven ability to translate business requirements into scalable data solutions

  • Track record of driving automation, reliability, and operational excellence

  • Experience managing multi-million dollar budgets and complex vendor relationships

Preferred Qualifications

  • Advanced degree in Computer Science, Data Science, Engineering, or related field

  • Experience with modern data stack technologies and cloud platforms

  • Background in AI/ML model deployment and MLOps practices

  • Experience in regulated industries with complex compliance requirements

What We Offer

  • Opportunity to shape enterprise data and AI strategy at scale

  • Direct partnership with AI leadership team and C-suite executives

  • Leadership of diverse, high-impact teams driving organizational transformation

  • Competitive executive compensation package including equity participation

  • Access to cutting-edge technologies and industry-leading data platforms

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.

          

Job Type:Experienced Hire

Shift:Shift 1 (India)

Primary Location: India, Bangalore

Additional 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 Role

This 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.

Skills Required

  • 12+ years of progressive data leadership experience with 5+ years in executive roles
  • Proven experience with large-scale data platforms and enterprise application integration
  • Deep expertise in enterprise applications including Salesforce, Workday, ERP systems
  • Hands-on experience with ECC to S/4HANA upgrades and enterprise transformation projects
  • Strong background in data architecture, warehousing, and modern lakehouse technologies
  • Experience building AI-ready data foundations including semantic layers and knowledge graphs
  • Demonstrated ability to drive enterprise-wide data strategy and influence senior leadership
  • Proven track record of building and scaling high-performing data teams
  • Experience partnering with AI/ML teams to enable advanced analytics capabilities
  • Strong background in data governance, quality management, and regulatory compliance
  • Experience managing multi-million dollar budgets and complex vendor relationships
  • Experience with data ingestion and engineering: ETL/ELT, real-time streaming, pipeline reliability
  • Advanced degree in Computer Science, Data Science, Engineering, or related field
  • Experience with modern data stack technologies and cloud platforms
  • Background in AI/ML model deployment and MLOps practices
  • Experience in regulated industries with complex compliance requirements

Intel Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Intel and has not been reviewed or approved by Intel.

  • Leave & Time Off Breadth Sabbaticals and paid time off are highlighted as signature elements, with an established program offering four weeks after four years or eight weeks after seven years. This distinctive time off is positioned as a meaningful part of the overall package.
  • Parental & Family Support Paid bonding leave of 12 weeks and a New Parent Reintegration program, plus fertility benefits around $40,000 and up to $15,000 adoption reimbursement with no lifetime cap, are clearly stated. These programs are presented as standout components alongside broader family support resources.
  • Healthcare Strength Multiple medical plan options with 2026 updates, a shift to Spring Health for EAP, and in‑network virtual medical visits covered at 100% beginning in 2026 indicate a comprehensive offering. These features signal an emphasis on robust medical access and mental health support.

Intel Insights

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The Company
HQ: Santa Clara, CA
75,000 Employees
Year Founded: 1968

What We Do

Our mission is to shape the future of technology to help create a better future for the entire world, that’s the power of Intel Inside. With more ingenuity and creativity inside, our work is at the heart of countless innovations. From major breakthroughs to things that make everyday life better— they’re all powered by Intel technology. With a career at Intel, you can help make the future more wonderful for everyone.

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