Data & AI Consulting Manager

Data & AI Consulting Manager

Key Responsibilities:

- Act as a trusted client advisor to identify AI transformation opportunities, business pain points, and value cases.

- Shape AI strategy, target operating model, governance, adoption, responsible AI, and transformation roadmaps for clients.

- Translate client needs into practical AI solutions in partnership with architects, FDE, delivery, and partner teams.

- Develop proposals, business cases, ROI models, proof-of-concept plans, and executive-ready client materials.

- Support opportunity qualification, deal shaping, solutioning, mobilization, and transition into delivery.

- Lead and support structured consulting activities, including workshops, stakeholder interviews, assessments, prioritization exercises, and roadmap development.

- Bring a strategic lens to client conversations, connecting AI use cases to operating model change, business outcomes, adoption, and measurable enterprise value.

- Reuse and improve global GTM assets, offering content, credentials, delivery patterns, and client-facing narratives.

- Stay current on AI, agentic AI, enterprise adoption trends, responsible AI, and partner capabilities to strengthen client advisory quality.

Success Measures:

- Personal sales contribution or qualified pipeline contribution, as applicable by career level.

- Utilization or billability against target.

- Quality of client deliverables, proposal contribution, stakeholder feedback, and reuse of global GTM assets.

- Contribution to downstream implementation opportunities and successful client mobilization.

Basic Qualifications:

- 8+ years of professional experience in consulting, professional services, strategy, transformation, AI, data, analytics, or related client-facing roles.

- 3+ years of experience shaping or delivering AI, data science, machine learning, GenAI, agentic AI, analytics, or digital transformation initiatives. Experience may be demonstrated through client delivery, on-the-job AI work, a data science background, or an advanced degree.

- Demonstrated strategy acumen, including business model analysis, operating model design, value case development, transformation planning, and executive narrative development.

- Experience supporting presales activities such as opportunity identification, solution shaping, proposal development, business case creation, or executive-level deal reviews.

- Working knowledge of enterprise AI concepts, including LLMs, AI agents, RAG, ML lifecycle, data readiness, responsible AI, governance, and adoption considerations.

- Bachelor's degree or equivalent work experience.

Preferred Skills:

- Master's degree, MBA, data science degree, AI/ML certification, or equivalent practical AI experience.

- Experience in one or more industries such as financial services, insurance, manufacturing, healthcare and life sciences, public sector, automotive, or commercial sectors.

- Familiarity with cloud and AI platforms such as Azure, AWS, GCP, OpenAI, Anthropic, Mistral, Google/Gemini, Databricks, or Snowflake.

- Strong executive communication, structured problem solving, facilitation, stakeholder management, and collaborative teaming skills.

- Ability to travel as required for client and internal engagements.

Interested candidates, please mail updated resume to [Confidential Information]