Job Description

Details
Skill/Operating
Group
Capability Network, Utilities
Job Title
Utilities Data
Strategy/Architect
Consultant
Location
Mumbai/ Pune/ Bangalore/
Gurgaon/Hyderabad.
Travel Required
Yes
Level:
All levels
Position Type:
Full Time
Industry Experience
Utilities
Years of
Experience
+5 years
Job Summary
and
Responsabilities
About Capability Network:
If you are looking for a career with unparalleled global impact, then Accenture invites
you to learn more about our rapidly expanding Capability Network. Over 2,000
management consulting and strategy professionals work in the Capability Network at
Accenture. Based in a network of prominent locations, Capability Network
professionals specialize in providing cutting-edge Industry and Functional expertise
and leveraging the power of Accenture to bring measurable value to our clients
worldwide.
Working closely with our clients in Utilities, Consulting professionals design, build and
implement strategies that can help enhance business performance. They develop
specialized expertisexe2x80x94strategic, industry, functional, technicalxe2x80x94in a diverse project
environment that offers multiple opportunities for career growth.
Key responsibilities of the role:
The opportunities to make a difference within exciting client initiatives are limitless in
this ever-changing business landscape.
Here are just a few of your day-to-day responsibilities.
Process & Functional Expertise: Utilities- Electric Transmission & Distribution
(T&D) Enterprise Asset Management, Asset Performance Management, Asset
Data Analytics, Risk and Failure Prediction Models, Criticality Assessment, Risk
Based Investment Planning.
Work with clients to understand how analytics can help their business and
define a data strategy
Help drive the requirements to assess and select the suitable data architecture
and solution blueprints
Helping solve key business problems and challenges by enabling an
architecture transformation, painting a picture of, and charting a journey from
the current state to a to-be enterprise environment
Data Modelling: Functional understanding of the different Asset health
Models, Failure Probability Models, Fault Prediction Models, Asset Criticality,
Risk Forecasting, and Investment Models for critical asset classes in the
Utilities space.
Understanding of the critical asset health parameters for major asset classes in
the Electric and Gas utilities space (Such as Power Transformers, Wood Poles,
Circuit Breaker, Wind Turbines)
Knowledge of Asset optimization, Maintenance & Reliability practices as
Reliability Centered Maintenance (RCM), Risk Based Inspection (RBI), Asset
Analytics and willingness to learn and grow.
Understanding of workflow related to SCADA, PI Historian, OMS, field devices
triggers resulting in inspection and maintenance work orders.
Understanding of asset and location hierarchical structure for Utilities
transmission, distribution, underground cables, gas pipelines
Good knowledge and experience in Digital & System Integration projects
Guide through the stages of data and analytics transformations
Lead program delivery for our utilities clients
Motivate and manage teams
Provide thought leadership to our internal team and educate peers on leading
practices
Qualifications
Bachelor Degree in a quantitative field like
statistics/econometrics/mathematics/engineering/computer science
MBA Degree from Tier-1 College (Preferable)
Skills/Experien
ce
+5 years experience in a consulting/industry role with utilities exposure
delivering data driven capabilities and solutions
3+ years of implementation experience in Asset Investment Planning tools
(IBM Maximo/APM, Copperleaf, SAP IAM, Bentley APM, Aveva APM, Infor
APM, GE Predix)
2+ years experience in designing and utilizing analytic solutions in enterprise-
wide organizations or in a role defining data architecture for a cloud native
solution or journey to cloud
Experience guiding and managing a team of practitioners to execute data and
analytics solutions, preferably both onshore and offshore
Other
desired/nice to
have skills
Proven utilities knowledge and experience delivering data, analytics and AI
solutions driving business outcomes
Strong Data Management and Data Governance background
Strong cloud background in delivering data-driven solutions on Azure, AWS
and/or GCP
Well versed with leading analytics techniques and confident about how to
apply them to generate insights and recommendations
Experience guiding the data formulation process and exploratory data analysis
Experience or knowledge in any of the following:
oData Modeling, Big Data Platforms (e.g. Cloudera, Hortonworks, AWS,
Talend, etc.), Data Migration and Quality (using ETL e.g Informatica),
MySQL/NoSQL, CQRS Event Sourcing
oHadoop, MapReduce, Spark, Pig, Hive technologies, Data Ingestion in Data
Lake, Data Storage on key Cloud providers (AWS, Azure, GCP), Redshift,
Data Retrieval on Big Data platforms and Interfacing Data Science and
Data Visualization tools on Big Data platforms
oData Storage Tools & Techniques, Data Archiving Patterns & Techniques,
Cloud Backup Architecture and Design, Data Warehouse Tools, Data
Conversion & Migration, Master Data Management, Metadata
Management, Network Data Management Protocol (NDMP), Informatica
MDM, Data Management and Integration, Systems Development Lifecycle
(SDLC), Data Modeling Techniques and Methodologies, Database
Management, Database Technical Design and Build, Extract Transform &
Load (ETL) Tools, Cloud Data Architecture, Data Architecture Principles,
SAS DataFlux ETL Tools, Online Analytical Processing (OLAP), Data
Processes, Data Architecture Principles, Data Architecture Estimation
oCertifications in leading APM vendors Products (IBM MAS, Copperleaf,
Aveva)