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Responsibilities:
Execute Citi’s Data Transformation strategy across all products, ensuring that data standards are defined for reference data and implemented globally to enable consistent process for acquiring, persisting, and delivering Data
Be the SME and understand the Enterprise and Services specific Reference Data needs and create and maintain a product vision aligned to business priorities, key user needs, and organizational OKRs
Own and prioritize the long-term Reference Data roadmap to deliver on business outcomes, working closely with a cross-functional team to ensure that all the right resources are aligned
Work with product and data consumer stakeholders and other business areas to capture requirements for reference data and use cases.
Understand data gaps between Master reference data and Services data and work towards aligning to Data Standards
Act as product owner / manager for critical data foundation, lineage, quality, discovery, and data work to satisfy the regulatory requirements.
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
Understand how Reference data and data models fits into the larger ecosystem, be aware of the changes and its impacts to the consumers within the business area
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
Qualifications:
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 preferable
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
Personal Skills:
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
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Anticipated Posting Close Date:
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