S&C GN - MC - Industry X - Smart Connected Products - Consultant at Accenture

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Mobility, Smart Cities, Aftersales Services, Smart Connected ProductsIndustries

Requirements

6+ years of Industry/Consulting Experience
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
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
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)
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; MedTech / Pharma – SaMD, SiMD, biopharma platforms (Salesforce, IQVIA, Veeva), QMS systems (Trackwise, Veeva), GxP compliance, digital engineering for R&D, QA/QC; H&PS / Utilities (Smart Cities, Public Sector) – Smart metering, iCCC, worker safety, waste & sustainability, Digital Twins, GIS, IoT and AI use cases; A&D & CMT – Product lifecycle & design transformation using PLM/ALM (JIRA, ADO, Confluence, PTC, Servigistics), SDLC processes, warranty, tech publications
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
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

Responsibilities

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

Skills

Key technologies and capabilities for this role

AIGen AIAgentic AILLMsPrompt EngineeringAzureAI StrategyChange ManagementAgile DeliveryProduct Strategy

Questions & Answers

Common questions about this position

What is the location for this role?

The position is located in India.

What experience level is required for this consultant position?

The role requires 6+ years of Industry/Consulting Experience at the Consultant level.

What are the key AI skills needed for this job?

Candidates need proven experience in AI/Gen AI including LLMs, prompt engineering, enterprise applications, familiarity with major AI platforms like Azure AI, Google Cloud AI, AWS AI, and knowledge of responsible AI governance, ethics, and risk frameworks.

What salary or compensation does this position offer?

This information is not specified in the job description.

What makes a strong candidate for this Smart Connected Products Consultant role?

Strong candidates will have 6+ years of experience, expertise in AI/Gen AI with LLMs and major platforms, ability to bridge business and technology teams, and domain knowledge in areas like aftermarket services, SDV enablement, or enterprise platforms such as SAP.

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters

1989Year Founded

$8.5MTotal Funding

IPOCompany Stage

Consulting, Enterprise Software, CybersecurityIndustries

10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.

Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.

The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.

The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.

Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.

The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.

Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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