Senior Digital & Analytics Transformation Lead

kearney

United States

On-site

USD 90,000 - 130,000

Full time

4 days ago
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Job summary

Kearney is seeking a Senior Business Analyst to join its Digital & Analytics practice, helping clients translate digital, data, AI, and technology into measurable business value across industries. You will support end-to-end transformation engagements, identifying opportunities, assessing processes, and developing implementation roadmaps with cross-functional teams.

Ideal candidates bring 3+ years of consulting experience, strong problem-solving skills, and proficiency in Excel/PowerPoint.

Qualifications

  • Bachelor’s degree in a related field; advanced degree is a plus.
  • 3+ years’ experience in consulting; ideally within a top-tier consulting firm or digital-focused organization.
  • Experience supporting business transformation, digital, analytics, or AI-related initiatives in consulting or industry.
  • Strong problem-solving and analytical skills, including structuring analyses and synthesizing findings into actionable recommendations.
  • Ability to translate business needs into clear requirements, use cases, user stories, process flows, or implementation plans.
  • Demonstrated ability to use generative AI and AI-assisted tools to accelerate research, analysis, workflow design, and rapid prototyping, with sound judgment regarding output quality, risk, and business relevance.
  • Strong Excel and PowerPoint skills, plus sufficient data and technology fluency to work effectively with data scientists, engineers, and implementation teams.
  • Strong written and verbal communication skills with the ability to create clear, executive-ready materials.
  • Strong interpersonal skills and the ability to work effectively in team-based, client-facing environments.
  • Are located near or willing to relocate to Atlanta, Boston, Chicago, Dallas, Detroit, New York, San Francisco, Toronto, or Washington, D.C.
  • This role requires approximately 50–80% travel, based on client and business needs.

Responsibilities

  • Support digital, data, AI, and technology transformation engagements from strategy through implementation, helping clients identify opportunities to improve business processes and operating models and realize measurable value.
  • Analyze complex business challenges using qualitative and quantitative data, and develop actionable, data-driven recommendations for clients.
  • Assess business processes, workflows, and technology capabilities to identify and prioritize high-value digital, data, analytics, and AI use cases.
  • Translate business priorities into solution concepts, requirements, implementation roadmaps, and transformation plans that align with client objectives.
  • Conduct market, operational, and financial analyses to support business cases, value realization, and executive decision-making.
  • Collaborate with consultants, data scientists, engineers, technology specialists, and client stakeholders to shape solution concepts and support implementation and scaling.
  • Develop executive-level presentations, facilitate client workshops, and communicate recommendations clearly to senior stakeholders.
  • Use generative AI and AI-assisted tools to enhance research, analysis, workflow design, rapid prototyping, and client delivery while critically assessing output quality and staying current on emerging capabilities and practices.

Skills

Problem solving
Analytical skills
Excel
PowerPoint
Communication skills
Interpersonal skills
Team collaboration
Willing to travel

Education

Bachelor’s degree
Advanced degree

Job description

Kearney is seeking a Senior Business Analyst to join its Digital & Analytics practice, helping clients translate digital, data, AI, and technology into measurable business value across industries. You will support end-to-end transformation engagements, identifying opportunities, assessing processes, and developing implementation roadmaps with cross-functional teams.

Ideal candidates bring 3+ years of consulting experience, strong problem-solving skills, and proficiency in Excel/PowerPoint.

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