Utilities Data StrategyArchitect Consultant

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 2000

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 cuttingedge 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 expertise—strategic industry functional technical—in 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 everchanging business landscape.

Here are just a few of your daytoday 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 “tobe” 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 Tier1 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 datadriven 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)