#ACN SC&E – Industry X - MC - Software Defined Products & Platforms – Manager

Accenture in India

Gurugram District

On-site

INR 4,000,000 - 6,000,000

Full time

11 hours ago
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Job summary

Accenture is seeking a Manager in India to lead AI strategy engagements, shaping roadmaps and delivering AI-enabled transformations for global clients. The role requires deep Gen AI expertise and the ability to align business and technology teams while engaging senior stakeholders.

This leadership position focuses on strategic guidance across Life Sciences, Automotive, and Software Defined Products & Platforms, driving responsible AI and scalable adoption.

Qualifications

  • Expert in AI strategy and Gen AI delivery.
  • Strong ability to translate business needs into AI solutions.

Responsibilities

  • Advise clients on AI strategy, adoption roadmaps, and ROI.
  • Manage end-to-end delivery of AI-enabled solutions.
  • Bridge business and technology teams to align AI initiatives with goals.
  • Engage C-suite and senior stakeholders to drive adoption of AI.
  • Shape product strategies and transformation roadmaps for AI across industries.
  • Develop executive-level recommendations and business cases.

Skills

AI strategy
Gen AI
Stakeholder engagement
Enterprise software
Cloud platforms
Product strategy

Education

MBA or equivalent management qualification
Engineering/Technology foundation

Tools

Azure
AWS
GCP
Databricks
SAP
NVIDIA platforms

Job description

SC&E – Industry X - MC - Software Defined Products & Platforms – Manager
About The Job
About Accenture

Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations Services, and Accenture Song - all powered by the world's largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners, and communities. Visit us at www.accenture.com

Level: Consultant | Location: India | Years of Exp: 12+ years of Industry/Consulting Experience

Explore an Exciting Career at Accenture

Do you believe in creating an impact? Are you a problem solver who enjoys working on transformative strategies for global clients? Are you passionate about being part of an inclusive, diverse, and collaborative culture?

Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Strategy and Consulting.

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, Software Defined Products & Places
  • 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.
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