Role Description: The Global Data Storage Risk Business Analyst role is a global, firm wide role, initially focussed on requirements and design (in partnership as appropriate) for Product features enabling Localisation compliance.The role will take ownership for gathering, analysing, and documenting requirements for enhancements to current state, participating in creating and agreeing detailed, holistic design documents, determining minimal viable product and definition of done milestones and acting as the Data Storage representative in Product backlog management with Product owner teams. The role focuses on the end to end data needed to drive compliance: memorialisation and maintenance of external obligations, classification of data in scope for obligations, evidencing of compliance and reporting of noncompliance for governance to Chief Data Office teams. The role will work closely with other BA's in the team who are designing workflow and roles and responsibilities, for a holistic & well documented outcome and an agreed Operating Model.
Role Reporting Line: Data Storage Risk Lead
Role Responsibilities: Program foundations
The program foundations include obligations, data classification (e.g. jurisdiction, data type, confidentiality level) and control objectives and measurement related to Data Storage to achieve compliance. JPMC classifies data enabling the identification of in-scope Data Assets and reports on compliance with controls, by way of KPI and KRIs. Additionally, an Inventory of external obligations is maintained. This role requires a wide variety of strengths and capabilities, including:
Building partnerships with product owners to ensure business requirements and data requirements are sufficiently documented
Research and create analysis spikes, user stories with an eye toward the MVP, North Star etc, while focusing on the details of the individual requirements
Strong understanding and experience in designing and developing global and firm wide business and technology operating models.
Devising metadata improvements in partnership with Line of business and corporate functional groups(LOBs/CFs), Data Type SMEs to achieve a reduction in Data Quality issues associated with Data Classification for Data Storage Risk Management
Assess Application current state data classification issues that arise, advise on control impacts and tactical or strategic paths of resolution, including opportunities for closing automation gaps
Must be proficient in collaboration tools like JIRA/Confluence
Collaborate with product owners to design measurable acceptance criteria and ensure requirements meet the definition of ready.
Provide end user documentation to educate on the end-to-end Product target solution, metadata flows and potential automation and actor touch points
Provide regular progress updates to the Global Data Storage Risk Lead and ensure escalation of any serious issues.
Understand the project subject matter and context, including data storage regulatory and policy environment
Contribute in meaningful and appropriate ways to meetings or calls; clear, concise, and confident written and oral communications
Make results of own analysis understandable, enabling others to accept and buy-in to conclusions
Build network and understanding in and outside of the Data Assurance team, across geographies, LOBs & CFs.
Partner with Product Owners and other CTC teams (both within and outside Data Assurance) to support metamodel design and technologies solution design.
Partner with CTC and other SMEs to document the current scope of data risk compliance processes, agreed gaps and enhancements and iterative delivery of enhancements over time as agreed.
Partner with other parts of the Data Storage Risk team to ensure KRI and KPI reporting is aligned with Classification and Control.
Partner with CDOs, 2 nd line and other SMEs to understand scope and effectiveness of control procedures, business controls and their underlying obligations.
Operate within an agile at scale delivery structure and a nimble but robust delivery mechanism, reflecting agile principles and delivery best practices.
LoB / CF CDOs and teams.
CTC and Data Management product owners
Global Data Risk Management.
Enterprise Technology including Cyber security & Tech Controls, Corporate Technology Operations and Global Technology & Infrastructure teams.
FDM Data Risk Metrics
Experience working within large change management programs; experience within large Financial Services firm or a strategy consulting firm serving financial institutions required.
Proven track record of Project/Change management delivery and significant experience as an advanced skilled Business Analyst
Analytical and problem-solving skills, requirements gathering, coordinating for requirements/BRD with product teams, raising engagement requests for additional BAs as project requires.
Experience in collecting, analysing, and presenting data to business to make key decisions. Candidate must demonstrate the ability to identify key issues and help the teamwork overcome complexity
Ability to map current and proposed process and data flows into stories, use cases, and specifications by example focusing on the minimum viable product
Ability to manage a portfolio of products to maintain velocity and ensure holistic targets are achieved
Exceptional organizational skills, be able to prioritize demands/tasks based on priority level
Proven track record executing across complex environments partnering with senior leaders of businesses and corporate organizations.
Demonstrate strong written and oral executive-level communications skills, including the ability to quickly adjust messages and style based on different audiences and agendas.
Experience with and a true passion for Data Assurance, process innovation, business consulting and leading-edge technology.
Demonstrated experience collaborating with multiple teams, coordinating across different cross-functional initiatives, and reaching consensus with diverse stakeholders within large organizations.
Ability to understand business drivers and risk appetite and to align program delivery accordingly
Significant experience (5+ Years) in a Financial Services environment.
Experience in developing and delivering Data Governance or Data Risk Management capabilities.
1-3 years of practical experience working in an Agile environment
Familiarity with Data Sovereignty obligations, especially in EMEA and APAC jurisdictions
Knowledge of Cyber Security & Technology Controls (CTC) Application Owner Services eco-system and assessment technologies and processes
Knowledge of Data Classification and Taxonomy Management and tooling.
Bachelor's degree in Business, Engineering or Information Systems or demonstrably qualified by experience to a similar level.
JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.