Finance Products Data Domain Steward

MUST be local to New York City, Hybrid Schedule, at least 3 days onsite

Salary Range: $190 to $250k

No Sponsorship Available

This is a Data Strategy, Data Quality and Governance Management level position.

The data operating model comprise of enterprise-wide groups and federated data domains to drive accountability and management of data. The federated operating model ensures minimal overlaps and reduced handoffs of data attributes across the data lifecycle.

Federated data domains (data domains) are defined according to the various types of data originated and consumed by the enterprise (transactional, derived and master/reference), and in such manner that there are no unclaimed or overlapping data elements between two domains. Their definition and structure aim to support the company’s business activities and operations.

Data is clustered into federated domains with overall accountability and ownership for data quality, from origination to consumption. The Finance Products Data Domain will manage data related to the company’s finance products.

Data Domains core responsibilities include definition and ownership of business use cases, serving as owners for and managing data within the domain (selected with view to exhaustively cover data within the enterprise with no overlaps), ensuring data satisfies the needs of data consumers, managing data quality assessments and remediation with source systems, expressing the data model and data definitions for the data elements within the domain, and participating in the enterprise data governance bodies.

As a Data Steward, you will be the driving force behind our end-to-end data strategy, acting as the subject matter expert in the Finance Products domain, supporting the Domain Sponsor and Data Owners. The primary function of a data steward is to ensure the data assets of his/her domain are fit for use, be that use analytical, or operational. Fluent in data concepts, governance, and quality, you will collaborate closely with business teams, IT leads, and data consumers to create and execute a comprehensive data strategy. You will spend a significant amount of time directly engaging with business contacts to understand data requirements, usage, and challenges to be addressed by the data strategy.

Responsibilities

Data Strategy & Governance:

• Translate business strategies into actionable business-oriented data management strategies for the Finance Products Data Domain.
• Manage new data initiatives and related projects by defining high-level business case, providing requirements and tracking and prioritizing data projects within domain.
• Define processes and procedures aligned to Enterprise Policy and Standards for data within the Finance Products Data Domain.
• Manage access and provisioning by supporting the definition of access permission plan, monitoring distribution of data from the domain, supporting data users as an expert of or entry point to data in domain, negotiating Data Service Agreements and ensuring data access and provisioning comply with standards and controls.
• Ensure that data is managed according to policies and standards within domain.

Data Architecture

• Manage the definition of golden sources and systems of record for data in scope.

Data dictionary:

• Support stakeholders in defining, validating, and maintaining business definitions for data elements.
• Accountable for data lineage and technical metadata for data elements within domain
• Identify need for changes in metadata within domain.

Data Quality:

• Support stakeholders in developing and managing data quality controls for data within domain to satisfy consumer’s requirements.
• Oversee remediation of Data Quality issues through prioritizing issues to remediate, review and challenge remediation plans.

Demonstrated Skills:

• Subject matter expertise in terms of reporting & analytics and associated data requirements
• Knowledge of the data sources, transformation rules, and uses of the data for the area of stewardship
• Fluency in data concepts & principles, data governance, and data quality
• Experience in performance management metrics
• Blend of technical and business/functional acumen
• Strong interpersonal and communication skills, ability to influence others.
• Ability to lead a cross-functional team towards shared objectives.
• Demonstrated passion for stakeholder engagement and support.
• Strong organizational/project management skills, process-oriented and great attention to detail
• Ability to manage concurrent initiatives and prioritize or escalate if prioritization assistance is needed.

Qualifications:

• 7+ year's experience in Management role (VP/SVP/Dir/Exec Dir)
• 3+ year's experience with Data Quality and Data Management
• Experience with data design, data audit, data governance and IT a plus