Intern supporting product management for ZEISS in ophthalmic medical technology and cataract treatment. Engaging in market analysis, product strategy, and cross - functional collaboration nationwide.
About the role
- Data Governance & Standards Product Manager driving Citi’s Data Transformation strategy across products. Collaborating with stakeholders to enhance data quality and analytics for business outcomes.
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 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 solutions for building Canonical Data Model (CDM) and big data solutions
- 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 fit 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 forums
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 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 to interface with technology to create user stories plan and groom Agile sprints
Benefits
- medical, dental & vision coverage
- 401(k)
- life, accident, and disability insurance
- wellness programs
- paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
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