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.