SVP, Data Governance & Standards Product Manager

Citi•Jersey City, NJ

About The Position

Create and maintain a product vision aligned to business priorities, key user needs, and organizational OKRs Own and prioritize the long-term Data Standards roadmap to deliver on business outcomes, working closely with a cross-functional team to ensure that all the right resources are aligned Implement the Services Producer / Consumer data strategy model and support underlying data management processes - data process mapping, lineage, and data cataloging Act as product owner / manager for critical data foundation, lineage, quality, discovery, and data work to satisfy the regulatory requirements. Work with product and data consumer stakeholders and other business areas to capture requirements for data and use cases Design and deploy datasets that can be leveraged as the single source of truth for all reporting and analytics for regulators, business stakeholders, and client use cases Understand various technological solution for building Canonical Data Model (CDM) and big data solution Define the change and life cycle management of the Data Standards and identify ways to automate workflow for review and approval Partner to define the tooling strategy for Data Standards definition and life cycle management. Also, enable codification of Data Standards to be consumed by other systems Understand how Data Standards and data models fits into the larger ecosystem, anticipating impacts from changes in other parts of the business Work cross functionally with data producing platforms, and Agile SCRUMs of data scientists and engineers for delivery Continually, succinctly, and clearly communicate progress and results against the data/analytics agenda to stakeholders across the organization Investigate and leverage - Continually “bring the outside in” to learn and deploy best practices from other organizations or industry forum

Requirements

Bachelor's degree in Statistics, Finance, Math, Operations Research, engineering or science or other related fields; Master's is a plus
8+ years of related experience
Experience working as a product manager or product owner, leading Agile teams for data/analytics outcomes
Experience working with large volumes of data and strong understanding of data analytics - traditional business analytics and modern data science techniques
Experience in leading the designing, developing, or managing Data / analytics solutions
Cloud experience would be preferrable
Familiarity with Data management and modelling concepts, canonical Data models
Familiarity with merchant and transaction banking or at least in financial services
Able to understand business needs and translate into analytical execution, including the supervision and review of the analysis, with a critical eye
Able to innovate new use cases and evaluate business impact
Able interface with technology to create user stories plan and groom Agile sprints
Self-motivated & accountable - Have a ‘Can do' and ‘Get it done' attitude - do whatever necessary and take full ownership of delivery
“Product” mindset focused on users, pain points and value-creation delivering solutions
Product Management Skills, ability to lead cross functional teams towards a common vision
Superior communication skills - able to clearly articulate complex strategies/techniques and ideas, in both oral and written form, to senior management, with associated poise
Execution oriented - doesn't remain in the theoretical; is able to make choices/decisions in the name of delivering rapid business impact
Collaborative - Possess strong collaboration and influencing skills to effectively lead cross-functional teams to drive deliverables, projects and engagements to completion
Bias for change - actively seeks out ways to improve processes, people, etc.
Influencing skills - able to influence outcomes without necessarily direct authority; experienced in navigating large complex organizations to achieve results

Responsibilities

Create and maintain a product vision aligned to business priorities, key user needs, and organizational OKRs
Own and prioritize the long-term Data Standards roadmap to deliver on business outcomes, working closely with a cross-functional team to ensure that all the right resources are aligned
Implement the Services Producer / Consumer data strategy model and support underlying data management processes - data process mapping, lineage, and data cataloging
Act as product owner / manager for critical data foundation, lineage, quality, discovery, and data work to satisfy the regulatory requirements.
Work with product and data consumer stakeholders and other business areas to capture requirements for data and use cases
Design and deploy datasets that can be leveraged as the single source of truth for all reporting and analytics for regulators, business stakeholders, and client use cases
Understand various technological solution for building Canonical Data Model (CDM) and big data solution
Define the change and life cycle management of the Data Standards and identify ways to automate workflow for review and approval
Partner to define the tooling strategy for Data Standards definition and life cycle management. Also, enable codification of Data Standards to be consumed by other systems
Understand how Data Standards and data models fits into the larger ecosystem, anticipating impacts from changes in other parts of the business
Work cross functionally with data producing platforms, and Agile SCRUMs of data scientists and engineers for delivery
Continually, succinctly, and clearly communicate progress and results against the data/analytics agenda to stakeholders across the organization
Investigate and leverage - Continually “bring the outside in” to learn and deploy best practices from other organizations or industry forum