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 Trust This 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.
