Kearney Activate Data and AI Business Analyst

About the role

Kearney Activate is the business acceleration and enablement arm of Kearney Management Consulting, helping clients accelerate transformation through Data and AI.

We operate across four key focus areas:

• Advisory & Assurance Services: Driving strategy, governance, and change management to ensure impactful transformation.
• Data Services: Building trusted, high-quality data foundations using Agentic AI across engineering, architecture, and governance.
• Insights Services: Unlocking value through analytics, data science, and AI-driven storytelling for better decision-making.
• Asset Services: Developing reusable GenAI assets, accelerators, and AI-powered solutions that push the boundaries of innovation.

Responsibilities

• Support enterprise data and Master Data Management (MDM) transformation initiatives across process, data, and technology workstreams
• Translate business discussions and stakeholder requirements into structured, high-quality business and functional deliverables
• Develop content supporting various MDM request types and workflows
• Maintain and update master data attribute files and related governance documentation
• Ensure alignment between business process designs, system requirements, and UI/screens
• Partner with SMEs, stakeholders, and design leads to gather, refine, and document requirements
• Provide clear, actionable inputs to development teams responsible for system configuration and build activities
• Support agile delivery activities including sprint planning, backlog refinement, testing coordination, and delivery tracking
• Track key project metrics, business trends, and delivery progress
• Support leadership in preparing materials for workshops, working sessions, and key decision meetings

Qualifications

• Bachelor’s degree in engineering, Computer Science, Information Systems, Mathematics, Statistics, Business, or related field required
• Experience with SQL, Excel, Power BI, Tableau, or similar analytics/reporting tools preferred
• Familiarity with enterprise systems, workflow tools, and data governance processes preferred