S&C GN - MC - Industry X - Intelligent Asset Management - 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

Industrial AI, Asset Management, ConsultingIndustries

Requirements

B.Tech / BE (mandatory); MBA or equivalent in analytics/management preferred
7–8 years’ experience with proven delivery of analytics/AI projects in manufacturing or other asset-intensive industries (predictive maintenance, reliability, OEE improvement)
Hands-on proficiency in Python/similar and SQL; experience producing reusable modelling pipelines and productionizing models
Strong understanding of enterprise data architectures, cloud platforms, Azure, Databricks or equivalent, and integration with EAM/CMMS (SAP PM, Maximo) and historians
Experience quantifying business impact and building financial/ROI models for analytics initiatives
Experience identifying and developing AI use cases across asset management domains and implementing AI agents/copilots to enhance workflows
AI/ML Techniques: time-series forecasting, anomaly detection, NLP, predictive modeling
Deployment & MLOps: model deployment, monitoring, lifecycle management (MLflow, Airflow, etc.)
GenAI / LLM exposure: prompt engineering, retrieval-augmented generation (RAG), AI agents frameworks understanding
Excellent stakeholder management and executive presentation skills; experience leading workshops and steering committees
Solid grounding in maintenance practices (condition monitoring, RCM/RCA/FMEA) and operational excellence concepts
English Fluency (mandatory)
Nice to have: Familiarity with IIoT platforms, edge analytics, and OPC/PLC integration
Nice to have: Cloud certifications (Azure / AWS / GCP) or reliability engineering

Responsibilities

Lead client conversations to define strategic objectives, create prioritization frameworks, and co-design AI-enabled maintenance strategies
Identify and develop AI use cases across asset management areas (reliability, predictive analytics, maintenance optimization), including building and scaling AI agents/copilots that enhance operational workflows
Own the end-to-end delivery of analytics use cases (PoC → pilot → scale) in asset management, ensuring alignment to business KPIs and value realization
Architect data solutions in collaboration with data engineering and IT (data models, ingestion patterns, cloud/edge considerations, integration with EAM/CMMS/historians)
Develop and quantify business cases (financial impacts, KPIs, TCO) and support proposal development and commercial negotiations
Mentor and review work of junior analysts; provide technical and consulting guidance to ensure delivery quality
Lead stakeholder engagement with plant operations, maintenance leadership and executive sponsors; present findings in client workshops and steering committees
Ensure best practices for responsible AI, governance, and cybersecurity are embedded in solutions
Support model deployment, monitoring, and lifecycle management (MLOps, MLflow, Airflow)
Contribute to capability building: training, playbooks, reusable accelerators and thought leadership

Skills

LLMs

AI Agents

Copilots

Predictive Analytics

Maintenance Optimization

Data Science

Data Architecture

Data Engineering

Cloud

Edge Computing

EAM

CMMS

Business Case Development

PoC

Pilot Scaling

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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