Data Policies - Senior Data Policy Analyst

Key Skills

Java Programming, Python Programming, SQL

Job Description

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.

As data is reshaping the business world, how do we provide a differentiated, data-powered service to our clients?

• Success in a constantly evolving world demands businesses transform into intelligent enterprises. They must adopt technologies fueled by data to enable continual refinements to performance, uncover new insights and make more informed decisions. And they need to ensure their use of data and technology is underpinned by trust to win credibility in the markets in which they operate.
• To support this new working world and remain market leaders, EY is also transforming into a data-powered organization. Our strategic evolution enables us to provide new services and solutions, enrich client experiences and find smarter ways of working.
• The Data Office is the engine driving EY’s transformation. It reframes how we find, manage, use and scale data to realize its full power and fuel new intelligent technologies.
• With a value-first approach and driven by business outcomes, the Data Office designs a data-powered, trust-enriched journey, ensuring value creation.

The opportunity

As a Senior Data Policies Analyst, you will become a key member of EY’s Data Policies team within the Data Office (DO). Within the DO, the Data Policies and Trust team will be responsible for capture and governance process as they pertain to the development and leverage of shared data assets across the EY organization. The development of data rules and their continued enforcement will be critical to the success of EY’s journey to a data driven organization.

• Your key responsibilities
• Senior Data Policy Analyst will work closely with Policy Groups (General Counsel’s Office (GCO), Data Protection, Independence, Risk Management, and Service Line Quality) to identify and define data rules to enable broader use of data across EY. This role will support the Data Policies team to build upon extensible frameworks and existing data rules, including the capture of localized requirements determined by local Policy Groups.
• Additionally, the Senior Data Policy Analyst will support the Data Policies team to support the design and enablement of technology and processes upon which the data rules are enforced. You will be taking a lead role in providing requirements for technology enablement and organizational design.
• At EY we believe that it is important for the Data Office to be multi-disciplinary. This requires that you demonstrate your ability to expand your area of influence beyond “traditional data governance” and contribute towards a
• contiguous and market leading data services. To satisfy these objectives you must be skilled at gathering requirements and coordinating/participating in workshops as a business consultant.

Skills and attributes for success

• Work closely with Policy Groups at the global, area and local level, together with local business sponsors to take a lead role in capturing requirements and document processes, including the ability to act as a trusted advisor to our stakeholders
• Support the creation of new processes and end-to-end design of various components within the Data Policies Capability 
• Gather feedback from solution teams and service lines to inform the execution of the various services of the Data Policies capability and take a lead role to manage junior members in the team
• Support the design and ongoing iteration of procedural documentation
• Manage and document requirements from various stakeholders and take a lead role working closely with the project management team to track progress and provide status updates
• Contribute to the creation and maintenance of a process and repository for the documentation of governance best practices
• Support the implementation of an ongoing communication plan to educate key stakeholders on data policy frameworks

To qualify for the role, you must have

• A degree in Business, Computer Science, Law or STEM related discipline or equivalent work experience..
• Any Data Governance, Quality, Risk Management processes is preferred, but not required
• 7+ years of total work experience consisting of:
• Minimum 7 years of hands-on Information governance or policy design and implementation.
• Minimum of 5 years of having been engaged within a multi-cultural, multi-disciplined, globally dispersed team
• Experienced working with IT on the analysis of complex business processes and data governance needs and development of re-engineering opportunities
• Developing and monitoring the delivery of efficient and effective processes to diverse and complex data problems
• Proven Track record within Data Governance with significant influence on overall direction of data policies and data lifecycle management

Ideally, you’ll also have

• Previous Knowledge of emerging data policy requirements (e.g. GDPR, Project Open Data, HIPPA) preferred 
• Experience in risk management processes in support of data usage and privacy 
• Ability to effectively participate in workshops to gather requirements and gain consensus
• Strong analytical skills, good knowledge of policy processes and strong team leadership
• Strong relationship building skills and executive presence
• Ability to constructively challenge requirements and current state to increase overall value to the organization
• Ability to direct the point of optimization from the project to the enterprise
• Should be well versed with latest data policy decisions, guideline and business trends
• Flexibility to adjust to multiple demands, shifting priorities, ambiguity and rapid change
• Strategic skills to develop long-term visions and the ability to translate them into actionable roadmaps that are broadly accepted.
• Ability to translate business and functional needs into policy requirements, and estimate their impact across the data lifecycle
• Ability to rapidly comprehend the changes to key business processes and the impact on the overall data policy framework
• Ability to understand and integrate cultural differences and motives and to lead virtual cross-cultural, cross-border teams
• English language skills - excellent written and verbal communication
• An overall understanding of the business objectives of service lines and Core Functional departments
• Ability to work and team with a multitude of different people to balance demands
• Self-starter attitude, with ability to work independently 
• Ability to analyze complex situations and to derive workable actions
• Ability to understand detailed impact while keeping the eye on the big picture
• Ability to abstract real world scenarios into easy to understand models
• Ability to identify, prioritize and weigh different options and to recommend a value add solution
• Ability to balance what is right with what is realistic 
• Ability to stay focused on identified priorities
• Ability to make decisions in situations of ambiguity and the absence of complete facts