Kearney Activate Senior Data & AI Advisory Consultant

Kearney Activate Senior Data & AI Advisory Consultant

Full-time Americas Arlington, VA, Boston, New York, Washington DC

Kearney Activate Senior Data & AI Advisory Consultant

About Kearney Activate

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

Our Data & AI business line bridges strategy, technology, and execution to deliver data-driven, AI-enabled, and cloud-powered transformations. We partner with leading platforms such as Microsoft, AWS, Snowflake, Databricks and Nvidia to help organizations build trusted data foundations, deploy intelligent solutions, and scale innovation.

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.

About the Role

We are seeking a Senior Data & AI Advisory Consultant to support and lead data, digital, and AI transformation initiatives for clients across regions. Based in India, you will collaborate closely with stakeholders and delivery teams in the UK / Europe, Middle East, APAC, and India, playing a pivotal role in shaping strategic insights, and solution recommendations and delivery.

This role sits at the intersection of technology strategy, business analysis, operating model design, and data-led transformation. The ideal candidate brings strong analytical thinking, excellent communication skills, and the ability to translate between business needs and technical considerations. Deep hands‑on technical expertise is not required; instead, a strong understanding of modern data and AI concepts and the ability to work effectively with technical teams is essential.

Your Responsibilities

Advisory & Business Analysis

Lead discovery activities, interviews, and workshops to understand current‑state processes, organizational structures, and data/technology challenges across global teams.

Translate business needs into clear requirements, user stories, and design recommendations.

Evaluate information from multiple sources, identify underlying needs, and shape actionable problem statements.

Perform structured data‑driven analysis (e.g., Excel modelling, data exploration) to support client decision‑making.

Support or lead the design of data, AI, digital, and IT operating models – including capabilities, roles, processes, and governance structures.

Develop strategic roadmaps, future‑state scenarios, and implementation plans that guide organizations through transformation.

Work closely with stakeholders across geographies to ensure designs and recommendations align with broader business priorities.

Data, Analytics & AI Enablement

Collaborate with cross‑regional data engineering, architecture, and analytics teams to ensure requirements are well understood and solutions meet business outcomes.

Support data validation, quality assessment, testing, and troubleshooting, working closely with technical teams where required.

Identify opportunities to embed automation, analytics, and AI techniques into client processes and organizational workflows to drive improvement and efficiencies.

Use tools such as Excel and BI platforms (Power BI/Tableau) to support insights, scenario analysis, and storytelling.

(

Note:

Exposure to SQL, Python, or cloud platforms is valued, but the role does not require deep hands‑on coding or engineering expertise.)

Project Leadership, Communication & Client Engagement

Shape and manage project scope, plans, dependencies, and risks using Agile or Kanban methodologies.

Collaborate with global teams across time zones to ensure alignment, timely delivery, and consistency in outputs.

Facilitate workshops, playback sessions, and stakeholder discussions across regions.

Develop high‑quality…