Consultant

Level

: Consultant |

Location

: India |

Years of Exp

: 4+ years of Industry/Consulting Experience

Key responsibilities include:

Advise clients on AI strategy

, identifying

high-impact use cases

, building

adoption roadmaps

, and ensuring alignment with business priorities and industry trends. Manage end-to-end delivery of AI-enabled solutions

, translating business objectives into tangible products and measurable outcomes. Bridge business and technology teams

, ensuring AI/Gen AI/Agentic AI solutions meet strategic goals while fostering

user adoption

and

change management

. Engage senior stakeholders, including C-suite executives

, influencing decision-making and driving adoption of innovative, AI-powered business models. Shape product strategies, operating models, and transformation roadmaps

for AI-driven initiatives across industries/verticals such as

Life Sciences,

Automotive, Smart Cities, Aftersales Services, and Smart Connected Products

. Develop and present executive-level recommendations, proposals, and business cases

that clearly articulate the ROI and strategic impact of AI-enabled transformations. Demonstrate leadership

by motivating multi-disciplinary teams, fostering collaboration, problem-solving, and ensuring successful execution of engagements.

Preferred Experience AI/Gen AI Expertise

: Proven experience in defining, managing, or delivering projects with a significant AI or Gen AI component. Ability to

advise clients on AI strategy

, identify

high-impact use cases

, and build actionable

adoption roadmaps

. Business–Technology Bridge

: Skilled at

translating business needs into AI solutions

, acting as the primary interface between stakeholders and technical teams, and driving

agile delivery

of AI-enabled products. Gen AI Knowledge

: Strong understanding of

LLMs, prompt engineering, and enterprise applications

, with familiarity across major

AI platforms

(Azure, GCP, AWS), respective cloud services (

Databricks

for instances) and integration into

enterprise systems

(SAP, Salesforce, ServiceNow etc.). Responsible AI

: Awareness of

AI governance, ethics, and risk frameworks

, with experience in guiding clients on

responsible AI adoption

. Domain Depth (at least one area desirable): PRD (CGS, Products)

– Aftermarket services, customer experience, FSM, SAP platforms, and process mining with Data/AI-enabled transformation. Automobile & Industrial

– SDV enablement

,

connected/EV/autonomous vehicles, mobility solutions (MaaS, diagnostics), compliance & safety standards (ISO 26262, ASPICE, UN-R155). Platforms (SAP, PTC, NVIDIA)

– Expertise in SAP PPM/PS/CPM/CPQ/EWM and emerging platforms (PTC, NVIDIA, Honeywell). Application of AI, automation, and

process mining to optimize enterprise platforms. MedTech / Pharma –

SaMD, SiMD, biopharma platforms (Salesforce, IQVIA, Veeva),

QMS systems (Trackwise, Veeva), GxP compliance, and

digital engineering for R&D, QA/QC

. H&PS / Utilities (Smart Cities, Public Sector

)

–

Smart metering, iCCC, worker safety,

waste & sustainability

,

with expertise in Digital Twins, GIS, IoT and AI use cases

for governance and service delivery. A&D & CMT

– Product lifecycle & design transformation using PLM/ALM (JIRA, ADO, Confluence, PTC, Servigistics), plus SDLC processes, warranty, and tech publications

. Consulting Acumen

: Proven track record in

digital transformation

,

multi-disciplinary team leadership

, and

executive stakeholder engagement

in technology-intensive industries. Preferred Background

: MBA or equivalent management qualification

combined with an

engineering or technology foundation

.