Job
Description
About The Role
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
Qualification
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."
