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

Accenture

Pune District

On-site

INR 1,400,000 - 2,000,000

Full time

14 days+
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Job summary

Accenture is seeking a Consultant specializing in Data & AI SME to guide clients on AI strategy, leveraging over 6 years of relevant experience. The role involves managing AI-enabled solutions and fostering stakeholder engagement to ensure successful digital transformations.

The ideal candidate will have strong business and technology skills, and experience in project management and leadership, ensuring alignment with industry trends and client priorities.

Qualifications

  • 6+ years of experience in Industry/Consulting, particularly with AI.
  • Experience working with global, cross-functional teams.
  • Strong communication skills engaging senior stakeholders.

Responsibilities

  • Advise clients on AI strategy and build adoption roadmaps.
  • Manage end-to-end delivery of AI-enabled solutions.
  • Engage senior stakeholders and influence decision-making.

Skills

AI strategy
Project management
Stakeholder engagement
Business and technology translation
Leadership
Agile delivery

Education

MBA or equivalent management qualification
Engineering or technology background

Tools

Azure AI
Google Cloud
AWS
SAP
Salesforce

Job description

Consultant – Data & AI SME

Level: Consultant – Location: India – Years of Experience: 6+ years of Industry/Consulting Experience.

Key Responsibilities
  • Advise clients on AI strategy, identify high‑impact use cases, build adoption roadmaps, and ensure 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, After‑sales Services and Smart Connected Products.
  • Develop and present executive‑level recommendations, proposals and business cases that 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, advising clients on AI strategy, identifying high‑impact use cases and building actionable adoption roadmaps.
  • Business–Technology Bridge: Skilled at translating business needs into AI solutions, acting as the 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, familiarity with major AI platforms (Azure AI, Google Cloud, AWS) and integration into enterprise systems (SAP, Salesforce, ServiceNow).
  • Responsible AI: Awareness of AI governance, ethics and risk frameworks, experience guiding clients on responsible AI adoption.
Domain Depth (optional)
  • 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, 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.
  • HPS / Utilities (Smart Cities, Public Sector): Smart metering, iCCC, worker safety, waste & sustainability, 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), 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.
Qualifications
  • Strong leadership presence with 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 self‑starter with a builder mindset.
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