Home
Communities
Companies
- Companies
  
  Discover best places to work
- Compare Companies
  
  Compare & find best workplace
- Add Office Photos
  
  Bring your workplace to life
- Add Company Benefits
  
  Highlight your company's perks
Reviews
- Company reviews
  
  Read reviews for 6L+ companies
- Write a review
  
  Rate your former or current company
Salaries
- Browse salaries
  
  Discover salaries for 6L+ companies
- Salary calculator
  
  Calculate your take home salary
- Are you paid fairly?
  
  Check your market value
- Share your salary
  
  Help other jobseekers
- Gratuity calculator
  
  Check your gratuity amount
- HRA calculator
  
  Check how much of your HRA is tax-free
- Salary hike calculator
  
  Check your salary hike
Interviews
- Company interviews
  
  Read interviews for 40K+ companies
- Campus placements
  
  Interviews questions for 2K+ colleges
- Share interview questions
  
  Contribute your interview questions
Jobs
Awards

WINNERS AWAITED!
- ABECA 2025
  
  WINNERS AWAITED!
  
  AmbitionBox Employee Choice Awards - 4th Edition
- ABECA 2024
  
  AmbitionBox Employee Choice Awards - 3rd Edition
- AmbitionBox Best Places to Work 2022
  
  2nd Edition
- AmbitionBox Best Places to Work 2021
  
  1st Edition

For Employers

Add office photos

Engaged Employer

Ernst & Young

Compare

3.4

based on 10.5k Reviews

1 Ernst & Young Data Governance Lead Job

Data Governance Lead-Associate Director

Ernst Young

3.4

based on 10.5k Reviews

8-12 years

Kochi

1 vacancy

Data Governance Lead-Associate Director

Ernst & Young

posted 4d ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analysis Data Analytics Consulting SQL Project Management Clinical Data Management

+ 3 more

Job Description

Job Purpose

Define, shape, and build the data analytics and visualization function at EY, establishing business intelligence as a driver of objective decision-making across the functions.

Specific Role requirements

Should have significant professional experience (16+) years in information analysis and in descriptive, diagnostic, prescriptive, and predictive analytics streams
Develop blueprints for Analytics and Cognitive and deliver transformation projects in the Area of Business Intelligence and Visualization.
Help ideate and build Data warehouse solutions by guiding technical BI teams.
Good experience in building and managing multi-disciplinary analytics teams.
Capability to clearly understand and articulate a business intelligence problem and lead multiple projects independently.
Collaborating with Business Architect/Analyst and Data Domain Executive to translate business requirements into the appropriate data requirements
Understanding, disseminating, and adopting applicable policies, standards, and processes corresponding to the data domain
Working with the Data Architect/Analyst to review data profiling results and recommend authoritative data source for the attributes/elements within the data domain
Providing inputs to the Data Domain Executive for data quality issue prioritization
Monitoring changes to the business data requirements and ensuring the change and release management activities are executed for the data domain
Working with the Data Architect/Analyst to provide subject matter advice in support of solution design for optimal integration with existing business processes
Providing inputs to business process training materials to Business Architect/Analyst

Client Responsibilities

Accountable for data warehousing platforms and solutions, algorithmic design, and business intelligence products.
Provide product and design-level technical best practices to data engineering teams
Collaborate with the Data Engineering team and the wider digital and technology organization to evolve the data architecture to support better integration and platform tools to support reporting and dashboarding.
Proactively recommending and influencing changes in business decision-making.
Completion of assigned tasks on time and regular status reporting to the leadership.

Experience and Qualification

B Tech/Masters or Ph. D. degree in either in IT streams or MBA (with strong quantitative background) or bachelor s in engineering with a strong quantitative background and adequate industry experience
Should have at least 14 years of experience in Analytics
Should have an understanding and experience of analytics best practices.
Excellent business communication, Consulting, and Quality process skills
Should be a Thought Leader in various digital data management disciplines.
Seasoned manager with a broad perspective of multiple business processes within Finance
Understands how data is used within business processes and its impact on desired business process outcomes
Experience with data analysis and data quality assessment techniques
Ability to manage a complex workload that includes multiple tasks and conflicting priorities with minimal supervision
Capable of examining data trends to determine the root cause of variations
Skilled in conceptualizing, documenting, and presenting creative solutions
Preferred education / training related to business process improvement, desired business outcomes, and quality-assurance methods
Knowledge of data lifecycle activities (data definition, data lineage, data quality, etc.)

Your people responsibilities (For People Leading Roles)

Building a quality culture
Build and develop a high-performing team of data scientists and data engineers
Lead by example and act as an inspiring people manager, by creating a positive working environment with maximum learning opportunities and exposure for your team members, encouraging every person on the team to further grow and develop their skills
Manage the performance management for the direct reportees, as per the organization s policies
Mentor the team in a specific area of specialization (PowerBI, Azure, SQL, SSIS, etc.)
Create an inclusive working environment
Lead a team of data stewards in their activities to enable and support stakeholders of the data governance function.
Manage the hierarches, and governance processes to ensure they are maintained, supported and meet current business requirements, including scheduled reviews and updates
Maintain the current documentation which includes hierarchy, and master data definitions, standards and policies
Provide expert knowledge through research and acquired business knowledge
Determine and publish data quality standards and measures/KPIs for master data attribute
Investigate, promote and recommend new uses and utilization of hierarchies, taxonomies, and governance processes
Provide a business case and resource estimates for development work required for Governance processes and data quality profiling, monitoring and reporting
Serve as contributor and subject area expert in the collaborative review of new data designs and development.
Work with project management and enterprise architecture counter parts to ensure a unified strategy around hierarchies, reference data, and vocabularies
Evaluate processes and procedures for adherence to the organizations quality standards by working with program functional teams to drive for requirement documentation.
Provide input and guidance regarding master data and data quality standards and processes to business and solution teams
Manage the master data governance processes
Direct the development of governance workflow processes, and coordinate UAT and production roll-out
Evaluate governance workflow requests to ensure adherence to EY global standards and policies

Additional Skills requirements

Experience in multi-domain across industries would be beneficial
Prior Client facing skills
Prior onsite experience is a plus
Should have engaged in client interactions, participating in business workshops
Help in business development and getting new prospects for the function.
Stakeholder Management
Manage the relationship with Business owners, functional leads, and project teams, ensuring their views and requirements are captured.
Act as the ambassador for your use case, showcasing the key functionalities, driving adoption, and assuring operational excellence together with IT peers.