Consulting and Advisory Lead - Data & AI

Job Description

Roles & Responsibilities :

This role leads the Data & AI consulting and advisory practice. An advisory-first leader accountable for the quality, credibility, and outcomes of the SL's consulting engagements. The role is critical in delivering the early engagements that establish client trust and create the platform for the Service Line to expand.

Key responsibilities

Practice leadership

• Lead and grow the Data & AI consulting and advisory practice —methods, quality standards, and reputation.

• Set engagement standards and delivery playbooks that make consulting outcomes consistent and repeatable.

• Serve as the senior advisory voice of the SL with clients and internal leadership

Landing engagements & delivery oversight

• Own successful delivery of critical landing engagements

• Shape and oversee client engagements: scope, approach, staffing, and client outcome.

• Accountability measured by consulting engagements delivered to a reference-able standard and the pipeline they generate.

• Responsible for deliverable quality, client satisfaction— across the consulting portfolio.

Advisory & client trust

• Act as trusted advisor to senior client stakeholders on Data & AI strategy, adoption, and transformation.

• Translate complex, ambiguous client problems into structured, outcome-oriented engagement approaches.

• Build durable relationships that position the SL for expansion within accounts

Team & capability

• Lead and develop SL advisory staff; partner with AI-CoE to deploy consulting staff in client engagements in a matrix operating model.

• Build consulting bench strength as the practice scales.

• Feedback from engagements back into CoE assets, accelerators, and reusable methods.

Growth & pre-sales support

• Support client partners — solution shaping, proposals, and client workshops — as the advisory authority

• Contribute to the SL's go-to-market narrative and thought leadership.

Qualifications

Educational qualification:

B.E/B.Tech/MCA/PhD or equivalent Qualification

Experience :

• 12–18 years in technology/management consulting, with a strong Data & AI advisory track record

Mandatory/requires Skills :

• Proven trusted-advisor standing with senior client stakeholders; shapes ambiguous problems into deliverable engagements

• Data & AI and GenAI landscape and enterprise adoption patterns

• Experience working alongside engineering and architecture teams in a services or product organization

• History of leading complex consulting engagements to reference-able outcomes

• Comfortable supporting pursuits and shaping proposals

• First-level people leadership; able to lead direct staff and matrixed specialists

• Ability to lead technical workshops with technical stakeholders in client environment

• Excellent verbal and written communication, technical authoring, ability to communicate technical concepts, risks and trade-offs to stakeholders of varying technical competency

Preferred Skills :