Senior Director , Data and Intelligence

Intel is hiring a Senior Director , Data and Intelligence in Bengaluru, India. Level rates it ; you can apply on Intel.

Level's read on this job

Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
Tools and skills the posting cites include MLOps, data strategy and data governance.
Level classifies it as an executive role.
Level lists 842 other open roles at Intel.

AI in this role

Seeking a Senior Director to lead the Enterprise Data & AI Enablement organization, driving strategies for data and advanced AI capabilities.

ml-opsdata-strategydata-governanceetlai-enablemententerprise-architecture

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 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.

How we rate this

Senior Director , Data and Intelligence at Intel rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Director , Data and Intelligence is an open job at Intel.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in India, Bangalore.
The job was posted on August 5, 2026.
Seniority: executive.
Applications are handled by Intel. Apply on Intel

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ML OpsData StrategyData GovernanceETLAI EnablementEnterprise Architecture

Questions you could be asked

How do you monitor a model once it's live, and how do you know it needs retraining?
Tell me about a project where data strategy was part of your work. What did you do?
Tell me about a project where data governance was part of your work. What did you do?
Tell me about a project where etl was part of your work. What did you do?
Tell me about a project where ai enablement was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: ML Ops, Data Strategy, Data Governance, ETL, and AI Enablement. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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