Data & AI - Strategy & Advisory Senior Consultant

Data & AI - Strategy & Advisory Senior Consultant

Location: Charlotte, NC (Remote)

The Data & AI - Strategy & Advisory Senior Consultant is responsible for advising enterprise clients on data led and AI enabled transformation initiatives, with a strong emphasis on manufacturing and industrial domains.

The role combines hands on consulting execution with strategic advisory, supporting clients in defining data strategy, conducting data maturity assessments, establishing governance foundations, and translating AI opportunities into executable transformation roadmaps. The consultant is expected to operate at the intersection of business advisory and data technology, with direct involvement in assessments and solution shaping.

This position requires close collaboration with client stakeholders, Wipro delivery teams, and practice teams to ensure advisory recommendations are practical, scalable, and execution ready.

Key Responsibilities

1. Data Strategy & Transformation Advisor

Support the definition and execution of AI enabled data strategies aligned to client business objectives and industry context.

Translate business priorities into data and AI ready problem statements, ensuring alignment across data technology, governance, and operating models.

Contribute to the development of phased transformation roadmaps, balancing near term value realization with long term platform and capability maturity.

Partner with delivery and architecture teams to ensure strategic intent is effectively realized during implementation.

2. Data Maturity Assessment & Current State Analysis

Lead and execute data maturity and capability assessments across key dimensions, including:

Data platforms and architecture

Data governance, quality, security, and metadata

Analytics and AI readiness

Operating model and organizational capabilities

Conduct stakeholder interviews, workshops, and working sessions to assess current state and identify gaps.

Synthesize assessment findings into clear, executive ready insights, highlighting risks, dependencies, and prioritized improvement areas.

3. Data Governance & Foundation Enablement

Advise clients on establishing fit for purpose data governance models, especially in complex manufacturing environments.

Support definition of:

Data ownership and stewardship models

Data quality and master data principles

Metadata, lineage, and access controls

Ensure governance recommendations are practical, scalable, and aligned to AI and analytics use cases and not just compliance oriented.

4. Manufacturing & Domain Advisory

Bring strong manufacturing domain context to data and AI discussions (e.g., operations, supply chain, quality, asset performance).

Align data and AI initiatives to manufacturing value drivers such as productivity, yield, reliability, cost optimization, and resilience.

Understand and factor in IT OT integration challenges, legacy systems, and operational constraints into advisory recommendations.

5. Client Engagement & Advisory Delivery

Act as a trusted advisor to client stakeholders (Director / VP level and above).

Facilitate discovery workshops, assessment sessions, and roadmap reviews.

Develop high quality client deliverables including:

Current state assessment reports

Data & AI strategy decks

Maturity matrices and gap analysis

Transformation roadmaps and recommendations

Partner with sales and delivery teams to support proposal shaping and solution articulation.

6. Collaboration & Capability Building

Collaborate with platform architects, data engineers, and AI specialists to ensure advisory recommendations are grounded in delivery feasibility.

Contribute to Wipro Data and AI consulting assets, accelerators, and reusable assessment frameworks.

Mentor junior consultants and analysts within project teams, supporting capability development.

Core Skills & Qualifications

10 years of experience in data technology consulting, enterprise data programs, or analytics advisory roles.

Strong hands on experience in:

Data strategy definition and roadmap development

Data maturity and capability assessments

Data governance design and implementation

Demonstrated experience working with manufacturing clients or industrial enterprises.

Solid understanding of modern data platforms (e.g., Databricks, cloud data lakes/warehouses) and how they enable AI/analytics.

Ability to bridge business objectives and technical execution.

Strong written and verbal communication skills, with experience producing executive level consulting deliverables.

Preferred / Good to Have

Exposure to AI/ML or GenAI initiatives in the context of data platforms (even if not deep model development).

Familiarity with industry frameworks (e.g., DAMA, TOGAF, data maturity models) and ability to apply them pragmatically.

Experience supporting RFPs, proposals, or pre sales advisory engagements.