EY Supervising Associate-Data Steward Technical 

India, Kerala, Kochi 

576502005

Job Summary:

Business Efficiency and Evolution is one of the four core functions of the MST. Business Efficiency and Evolution will work closely with the business and the Global Process Owners to set the strategic direction and road map for Mercury, enabling process efficiency and standardization through:

• centralized business process governance
• portfolio planning, demand management and prioritization
• analysis of business requirements and the identification of process improvement opportunities, aligned with business KPIs, which can be delivered via the Mercury solution
• robust governance, stewardship and audit of Mercury data
• effective governance and management of the Mercury control framework.

Essential Functions of the Job:

• Design, implement and enhance automated data quality assessments, compliance metrics and KPIs.
• Design, implement and enhance automated data profiling and integration of internal and external data sources required for effective governance.
• Proactively identify data governance opportunities associated with business issues and risks and develop solutions to mitigate risk and improve efficiency.
• Demonstrate skill to pro-actively identify critical or key master- and reference data elements associated with business issues to be included in the governance function.
• Understand business issues and risks from a system, process and control, and most importantly a data perspective.
• Facilitate and enable accurate documentation of metadata, lineage, models, interfaces, transformations and other activity in the data life cycle with impact on risks associated with key data elements.
• Facilitate and enable ongoing definition and implementation of data standards to mitigate risks associated with key data elements.
• Produce key measurements that communicate governance performance, including KPIs, monthly achievements, project status and issues to be addressed
• Translate team priorities into actionable plans to meet strategic objectives of the Data Governance function.
• Develop multiple relationships across the organization and own team, based on authenticity and respect. Leverage networks across the organization, working with diverse teams so that the Data Governance function is credible and valued across EY. Other parts of the business include IT, Finance, Data Privacy (GCO), Risk, Business Reporting Group, Service Lines Leaders, Area leadership, Talent Leadership
• Go beyond technical excellence aspects to provide insights including thought leadership, embedding leading practice methods and processes to deliver value from Data Governance function.
• Serve as the primary quality control analyst for all master data entities in the primary databases
• Serve as contributor and subject area expert in the collaborative review of new data designs and development.
• Escalate data management decisions that cannot be made easily or due to unresolved conflict
• Provide a business case and resource estimates for development work required for Governance processes and data quality profiling, monitoring and reporting
• Provide expert knowledge through research and acquired business knowledge

Analytical/Decision Making Responsibilities:

• (Describe the kind of problems and challenges typically faced, and decisions required to perform the job, as well as recommendations made to supervisors or others. Focus on the nature of existing policies, precedents and procedures used to guide decisions, and the degree to which the incumbent is free to make decisions requiring interpretation and judgment. Provide an example.)
• Report on, and support through enforcement, the agreed and signed-off policies mandated by the Data governance policy.
• Identify data governance metrics and execute audits to benchmark the state of data quality, retention, security etc., and its impact on desired business outcomes.
• Regularly expose data governance metrics via standard reporting mechanisms (for example, data quality scorecard or dashboard).
• Engage with business leadership (key business managers, Talent leadership etc.), to quantify and articulate the business impact of violations of policy.
• Develop data quality methodologies to execute data quality improvement projects.
• Actively participate in the design and deployment of applications and data integration processes to ensure standards and controls, to ensure high-quality data is implemented in adherence with data governance policies.

Knowledge and Skills Requirements:

• (Describe the knowledge or skills needed to perform this job; these may be technical, managerial or behavioral in nature.)
• Comprehensive understanding of the importance and impact of data (or bad data) on the ability of the business to meet its objectives.
• Aptitude to gain in-depth knowledge of EY's systems, data and key business processes.
• Understanding of how data is used within business processes and its impact on desired business process outcomes, derived from multiple years of exposure to the EY business setting.
• Demonstrate strong understanding and usage of Information Steward Components on Data Insight, Metadata Management, Matapedia, Cleansing Package Builder, Match Review and Custom attributes build.
• Experience with SAP MDM, MDG etc
• Comprehensive understanding of data analytics solutions, data conversion implementations and tools, ERP data models, data warehouse models, data profiling techniques, ETL/data integration tools and technology, MDM solutions, and SDLC.
• Strong leadership and consensus-building skills at all levels in EY, from clerical positions to the senior leadership team
• Complex problem solving / conceptual thinking: Knowledge, skills and abilities needed to establish and refine the strategies that drive organizational performance and add value to the business
• Solid aptitude on project management skills, to guide both point-in-time and ongoing targeted data quality solution implementation projects.
• Ability to perform and manage multiple tasks simultaneously and work well under pressure and with time constraints demonstrating strong organizational skills
• Strong aptitude working at low levels of detail, examining data and trends in values to understand variations and seek the root causes, to legitimize the trend or classify it as a data governance issue.
• Supervision Responsibilities:
• (Describe the level of supervision received (i.e., the frequency of supervisory contact, degree to which the individual acts independently and on what kinds of issues). Describe the level of supervision of others, if any (i.e., assigning work, reviewing performance, direct or indirect responsibility).
• Reports to the Mercury Support Solution Center Data Governance Technical Lead
• Actively participate in self and team development by providing day-to-day guidance, feedback and on-the-job coaching wherever possible.
• Actively involved in the team activities to work as a team.

Other Requirements:

• (Describe other functions or expectations of the job such as whether overtime is regularly required (e.g., during busy season?), whether there are particular times of the year that vacation may not be taken, whether there is frequent travel, whether there are any physical requirements beyond those expected in a normal office environment or any other miscellaneous things about the job that should be made known.)
• Demonstrate an inclusive and globally aware mindset
• Ability and flexibility to work in a virtual environment across multiple time zones
• Flexibility to work non-standard hours in supporting global production systems.
• Excellent problem solving and decision making skills
• Ability to react appropriately during crisis situations.
• Operate in a dynamic, fast moving and changing environment
• Operate in a global matrix environment
• Some business travel may be needed

Education:

• Bachelor’s degree in Information Technology or Business Administration or equivalent work experience

Experience:

• 3+ years’ experience in a global professional services firm performing data management and/or governance, system integration, implementing data analytics, warehouse, MDM and/or BI solutions in a
• Understanding of the end-to-end data life cycle requirements of key business processes.
• Demonstrate in-depth knowledge of all the nunances of SAP Data Services.
• Demonstrate in-depth knowledge of Information Steward Components on Data Insight, Metadata Management, Metapedia, Cleansing Package Builder, Match Review and Custom attributes build etc.
• Project management training practical application experience is preferred.
• Exposure to data quality, records management, security and privacy concepts, best practices, and tools/technologies
• EY Knowledge a plus but not a requirement Experience in change management, configuration management, or incident management would be a plus.

Certification Requirements:

• Having certification of SAP DS or Information Steward a plus but not required.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.