AI Strategy and Production Operations Consultant

S&C GN - MC - Industry X - Production & Operations - Consultant

Roles and Responsibilities 

Preferred Background: MBA or equivalent management qualification combined with an engineering or technology foundation. 

• 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. 

Key Competencies 

Day in a Life: 

Project Delivery:   

• Leading/working closely with business and client stakeholders to understand client pain points, diagnose problem areas, design solutions, and facilitate deployment 

• Strong analytical and problem-solving skill with demonstrated commitment to quality client service 

Practice Development:   

• Reimagine, build, and transform client business and operations by developing cutting edge assets, tool and methodologies, development of PoVs, research, white papers, support development of Go-to-market offerings 

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 casesfor 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.