Data Steward-Technical

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The opportunity

EY is looking to hire a well-rounded resource into the MST Data Governance team. The role is for a Data Steward – Technical, at the rank of a Supervising Associate ideally with the following competencies.

• 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, Metapedia tools
• Experience with SAP ECC, MDM and alied products
• Experiance with SQL (advanced), Power BI (for KPIs & scorecards)
• Comprehensive understanding of data analytics solutions, ERP data models, data warehouse models, data profiling techniques, ETL/data integration tools and technology, MDM solutions, and SDLC.
• Strong work ethics to build consensus-building skills at all levels in EY, from lower 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 / understanding 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 prioritization / organizational skills
• Knowledge of Power automate tools, Power app, SharePoint or Python would be a plus
• 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

Your key responsibilities 

Key responsibilities will include the blow mentioned tasks

• 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, periodical 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 develop subject area expertise in the collaborative review of new data designs and development.
• Escalate data management decisions that cannot remediated easily or due to unresolved conflict
• Provide a business case and work estimates for development required for Governance processes and data quality profiling, monitoring and reporting
• Provide expert knowledge through research and acquired business knowledge
• 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

Skills and attributes for success

Ideally, candidate should possess a strong analytical mindset to use technology using Information Steward tools, Microsoft Developer Network and Artificial Intelligence knowledge and its usage for business solutions. Other attributes included for success are some of the key considerations listed below:

Bachelor’s degree in information technology or business administration and 5+ years of experience in a global professional services firm performing data management and/or governance, system integration, implementing data analytics, warehouse, MDM and/or BI solutions

• Having certification of SAP DS or Information Steward a plus but not required
• 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 mindset
• Ability to react appropriately during crisis situations.
• Operate in a dynamic, fast moving and changing environment
• Operate in a global matrix environment

What we offer you 

At EY, we will develop you with future-focused skills and equip you with world-class experiences. We will empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. 

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