Job Description

S&C GN - MC - Industry X - Smart Connected Products - Consultant

Consultant - Data & AI SME

Level

: Consultant |

Location

: India |

Years of Exp

: 6+ 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 such as

Mobility, 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 AI, Google Cloud AI, AWS AI) and integration into

enterprise systems

(SAP, Salesforce, ServiceNow).

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

Your experience counts:

Strong leadership presence with the ability to influence across functions. Experience working with global, cross-functional teams. Exceptionally organized, detail-oriented, and quality-driven. Strong communicator with confidence in engaging senior stakeholders. * Proactive, independent, and a self-starter with a builder mindset.