Job Description

• The Finance Product Data Owner is a mid-to-senior level professional role accountable for a set of financial product aligned data within the Finance Data organizational structure and is responsible for ensuring that the data is compliant to Regulations, Laws, and Policies, Standards & Procedures to reduce and manage data risk.
• They will support in driving forward data quality remediation efforts for their assigned financial products, including engaging with data consumers, providers, and technology to deliver solutions, and they will support with rationalization of data elements that are critical for consumers of their assigned products data.
• This role requires collaboration across teams of internal data governance stakeholders (including Senior Data Mangers, Data Risk & Control, Data Quality/Analytics & Reporting, Master & Reference Data Strategist, Data Tech, etc.) and business/function stakeholders who are tasked with implementing adequate data governance, promote data as an asset, and drive culture change to make the organization increasingly data informed.

• Engage with senior stakeholders across lines of business and functions to ensure development & execution of suitable solutions for identified data quality issues.
• Assist in identifying end-to-end data flow, including all upstream areas that create and/or consume product data to support with data quality remediation efforts.
• Understands the Finance function and regulatory reporting to effectively engage data consumers on the end-to end data flows and the critical data elements that flow across systems.
• Support with gathering, coordinating, documenting, and translating data requirements between consumers and providers aligned with data standards and data process risk
• Assist in remediating Data Concerns, including dispositioning and monitoring fixes (Data defects, Data issues). Review, remediate, report, and monitor Data Quality issues through corresponding Data/Issue management process.
• Create effective presentations suitable for all audience types, including the Board, Executive Management Team, and partners.
• Analyze large sets of data effectively in Excel to provide updates on product data population of Data Concerns, critical data elements, and other metrics, as needed
• Support Product Data Lead with execution of other key deliverables including Consent Order and regulatory commitments
• Lead meetings and working sessions to solve issues / challenges / risks by factoring input from partners and diverse points of view.
• Escalate potential barriers to timely execution before they impact the delivery, communicate potential risks and plans to mitigate issues and concerns.
• Prepare and present status updates, issues / challenges / risks and solutions to stakeholders and partners in business and technology data teams in a succinct manner to drive decision-making and actions.
• Monitor metrics and key performance indicators associated with Data Quality and Controls;
• Facilitate execution on remediation of Data Concerns, including dispositioning and monitoring fixes (Data defects, Data issues).
• Ensure sound program / project management for Data portfolio (in partnership with Program Management Office), including ensuring clear deliverables and timelines are defined accurately, there is timely identification of risk/risk management established, internal sponsors / clients / beneficiaries are accurately assessed and engaged, and a process that ensures accurate milestone reporting and changes is instituted.
• Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding, its clients and assets, by driving compliance with applicable rules, laws, and regulations, adhering to Policy, applying sound ethical judgement regarding personal behavior, conduct and business practices and escalating managing and reporting control issues with transparency.

• 10+ years of combined experience in banking and financial services industry with experience in one of the following areas: Controllers, Treasury, Front Office product owner functions, Finance Data organization
• Strong knowledge of relevant financial product (e.g., derivatives, equities, debt products, deposit products, cards, lending products, repos/reverse repos)
• Data Owners understands all aspects of Data Management, including Data Lineage, Metadata, Data Quality, Data Remediation, and Issue Management
• Experience includes supporting large data and data quality initiatives (ideally regulatory efforts), aligning business processes with data, implementing technology solutions, developing, or supporting standards / policies and data-related issue management and remediation efforts.
• Experience with data management processes and tools and applications, including process mapping and lineage toolsets.
• Demonstrated relationship management and advisory skills with sponsors, key stakeholders, partners and team members in both Business and Technology forums.
• Excellent problem-solving and critical thinking skills to recognize and comprehend complex data flow and designs.
• Strong data analysis skillsets (e.g., managing large populations in Excel, running analyses/comparisons across multiple populations).
• Self-motivated and able to dynamically determine priorities.
• Strong understanding of data governance issues, policies, regulatory requirements, and industry information affecting the business environment.
• Actively managed various aspects of data initiatives including analysis, planning, execution and day-to-day production management.
• Led efforts to solve data flow / data design issues / challenges / risks with input for solutions from cross-functional team members and diverse viewpoints.
• Coached or mentored direct team members and/or indirect team members.
• Good presentation skills, business and technical writing, and verbal communication skills to support decision-making and actions.
• Regularly provided timely action-focused status updates to management and stakeholders

• Bachelors Degree

• JIRA
• Excel (pivots, formulaic analysis, vlookup, etc.)
• MS Office
• Zoom

• Collibra
• Smartsheet

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