Data Governance Lead-Associate Director

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. 

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 organization's 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.

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