Data & AI Transformation Partner

Tata Consultancy Services; Deerfield (IL); On-site; USD 147,000 - 203,000; Full time

Job summary

Tata Consultancy Services in Deerfield, IL seeks a Client Partner—Data & AI Transformation Leader to guide enterprise data strategy and analytics programs. You will partner with Walgreens to align data and AI initiatives with business goals, drive platform modernization, and oversee governance and value realization.

You will lead workforce design, ensure data quality and responsible AI, and manage key vendor relationships to scale high-value data use cases across the enterprise.

Qualifications

• 18+ years of experience in Data, Analytics, AI, Digital Transformation, or Consulting, with proven success leading enterprise-scale transformation programs and influencing C-suite executives, preferably in Retail, Healthcare, or Consumer industries.

Responsibilities

• Advise Walgreens Chief Data Officer on aligning Data, Analytics and AI initiatives with business strategy.
• Drive execution of the Data & AI transformation roadmap, including platform modernization and AI adoption.
• Lead executive governance and operating cadence, including reviews, steering committees and decision tracking.
• Own value realization reporting with KPIs, ROI, productivity and cost optimization.
• Develop workforce strategy, organization design, hiring plans and capability development.
• Establish and mature Data & AI governance frameworks ensuring data quality, security and responsible AI.

Skills

Data strategy

Executive leadership

AI governance

Analytics

Vendor management

Education

Bachelor of Computer Science

Tools

Databricks

Microsoft

Job description

Tata Consultancy Services in Deerfield, IL seeks a Client Partner—Data & AI Transformation Leader to guide enterprise data strategy and analytics programs. You will partner with Walgreens to align data and AI initiatives with business goals, drive platform modernization, and oversee governance and value realization.

You will lead workforce design, ensure data quality and responsible AI, and manage key vendor relationships to scale high-value data use cases across the enterprise.