Lead Data Modeler – C13 - VP

The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities.

Responsibilities:

• Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
• Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
• Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
• Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
• Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
• Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
• Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Qualifications:

• 10-18 years of relevant experience in Apps Development or systems analysis role
• Extensive experience system analysis and in programming of software applications
• Experience in managing and implementing successful projects
• Subject Matter Expert (SME) in at least one area of Applications Development
• Ability to adjust priorities quickly as circumstances dictate
• Demonstrated leadership and project management skills
• Consistently demonstrates clear and concise written and verbal communication

Education:

• Bachelor’s degree/University degree or equivalent experience
• Master’s degree preferred

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

 Defining the VP Data Modeler Role

The VP Data Modeler is a senior executive role responsible for overseeing and implementing data modeling solutions within an organization's data governance framework. This role is vital for ensuring that data models align with both business objectives and technical requirements, and that data quality and integrity are maintained across the board.

 Key Responsibilities

- Develop and Implement Data Models: The VP Data Modeler is charged with creating and deploying data models that address the needs of the organization. This involves understanding the specific requirements of different business units and creating models that facilitate effective data use and management.

- Collaborate with Data Governance Teams: A core part of the role involves working closely with data governance teams to ensure data models support data quality and integrity. This means regularly reviewing data models and making necessary updates to accommodate changes in business processes or regulatory requirements.

- Lead Data Governance Projects: As a senior executive, the VP Data Modeler leads or participates in various data governance projects, setting benchmarks, monitoring progress, and ensuring that objectives are met within set timelines.

 Essential Skills and Qualifications

- Expertise in Data Modeling and Management: Candidates should possess strong technical skills in data modeling, including experience with major data modeling tools and techniques. They should be able to design data models that are both scalable and efficient.

- Proven Leadership in Data Governance Projects: The ideal candidate will have a demonstrated history of leading successful data governance initiatives. This includes experience with data governance frameworks and best practices.

- In-depth Knowledge of Data Governance Tools: Familiarity with the latest data governance tools and technologies is a must. This includes an understanding of DataOps, AI applications in data governance, and evolving data privacy regulations.

- Strong Leadership and Communication Skills: The VP Data Modeler must excel in managing teams and communicating effectively with stakeholders. The ability to translate complex technical concepts into understandable terms for non-technical audiences is crucial.

 Current Trends in Data Governance and Data Modeling

                   Emerging trends in the field of data governance and modeling are reshaping the industry. The integration of AI in data governance processes, the rise of DataOps for improved data lifecycle management, and the growing emphasis on data privacy and regulatory compliance are all significant factors that a VP Data Modeler must navigate. Industry leaders and benchmarks set by companies like Google, Microsoft, and IBM highlight the dynamic nature of the field and the importance of staying current with best practices.

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