TTS Data Standards Lead Specialist - SVP

Citi Treasury and Trade Solutions (TTS) is a leading provider of cash management and trade finance/services to corporate, public sector and financial institutions clients around the world. With a global network spanning 98 countries, and serving clients in 160, TTS is uniquely qualified to serve clients with local and cross-border interests.

As Citi pivots to sustained growth across all of its business lines (both corporate and consumer), there is a recognition that a key enabler is the ability to better harness data, analytics, and insights, both within individual business units, but also across business lines to create incremental value, both internally and externally.  The Data and Analytics team in TTS owns the data and analytics product (all data needed to enable client products, make business decisions, fulfil regulatory/legal needs, key analytics for product decisions and insights, as well as data tools that empower the business users or deliver to client solutions) across all TTS products and functions.  The team also manages the data, analytics vision and roadmap together with business stakeholders, and product-manages the Agile delivery of data, insight, and solution across data scientists and engineering. Data is a critical area of focus within the business. It is global in scope which would provide a lot of visibility to the senior management within TTS via regular interactions, presentation, and discussion forums.

Citi is seeking a strong business-minded analytical leader to both create and execute against a data agenda that will accelerate positive outcomes primarily for critical business initiatives.  This Data Leader will interface with multiple business stakeholders to understand needs/priorities and pave the path for how data & analytics can used to accelerate outcomes, focus data, analytics, engineering resources to deliver against biggest business value, following Agile Data Product Management best practices.

Responsibilities:

• Execute Citi’s Data Transformation strategy across all products, ensuring that data standards are defined and implemented globally to enable consistent process for acquiring, persisting, and delivering Data

• 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 TTS 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

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