Senior Manager Data and AI Governance

Responsible for data governance strategy development, the Sr. Manager of Data Governance leads data governance, analytics, and vendor relationships. Interface with executives and represent their interests to the broader organization while ensuring the collective business objectives are prioritized. Ensures meaningful quantitative or qualitative analyses is provided addressing impactful business issues or questions, combined with subject-matter expertise to deliver coherent, insightful takeaways comprehensive read-outs, and advice/recommendations grounded in what our data is telling us. Does all of the above by recruiting, retaining and enabling team members to do their best and most meaningful work with a supportive and team-driven approach to delivering value to our customers and stakeholders.

Minimum Education

• Bachelor's Degree in computer science, data analytics, software engineering, information technology, or related field. (Required)

Minimum Work Experience

• 10 years of related experience, including prior management experience or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position (Required)

Required Skills/Knowledge

• One or more of the following skills are desired: Business Intelligence; Data Analysis; Microsoft Azure; Data Governance; AI Governance; SQL (Programming Language); Statistical Analysis Systems (SAS)
• Experience with Data Modeling; Data Governance; AI Governance; Python (Programming Language); Quality Assurance; SQL (Programming Language)
• Experience with one of more of the following: Analytical Techniques; Business Analysis; Quantitative Analysis; Risk Analysis; Root Cause Analysis; Statistical Process Controls
• Ability to lead/manage others
• Collaboration and team building skills
• Effectively coaches and delivers constructive feedback
• Instills commitment to organizational goals
• Ability to communicate and make recommendations to upper management
• Effective conflict management skills
• Develops and delivers effective presentations
• Demonstrated negotiation skills
• Ability to analyze and interpret financial data to facilitate on projects initiatives and goals
• Possesses technical aptitude.
• Excellent verbal and written communication skills, communicate complex findings in a clear and understandable manner
• Excellent facilitation ability to host sessions and elicit ideas from others, understanding their issues and encourage group participation
• Attention to detail.
• Communicate complex findings in a clear and understandable manner
• Collaborate effectively with other leaders
• Adapt at leading team in changing priorities and thrives in a dynamic environment

Functional Accountabilities

• Establish the right business capabilities model and architecture, with relational hierarchies, transformation roadmaps and Objectives and Key Results (OKRs).
• Leads the product portfolio and life cycle rationalization and consolidation initiatives.
• Establishes the detailed RACI matrix for all critical data interfaces, clearly defining the swim lanes and handover processes with measurable deliverables.
• Ensuring there is proper alignment and clearly established single point of contacts and governance teams.
• Implements the methodology, framework, conceptual definitions, toolkits, process and documentation standards, functional training, and upskilling for an enterprise transition to data as a product including all capabilities required across the data supply chain.
• Layering the latest tooling in AI/ML to support actionable insights and nudge solutions.
• Build a "learn fast" team culture including clear accountability and a drive toward outcomes while ensuring teams can learn quickly in a safe environment.
• Work across businesses to prioritize data governance needs while working cross-functionally to identify opportunities for integration
• Lead tactical planning, development, and implementation of data governance systems, including engaging cross-functional stakeholders, collecting business requirements, completing vendor selections, and building proposals for capital expenditures related to Data Governance.
• Build and implement Data Governance Framework that includes strategic priorities for development of information and data-based capabilities
• Serve as a point of escalation for governance, data quality, IT, and privacy issues and work closely with Business and Functional area leadership to improve the quality and value of core data assets
• Oversee data systems, including vendor oversight and testing for comprehensive disaster recovery plans
• Performs other duties as assigned.
• Complies with all policies and standards.

Leader Accountabilities Manager

Deliver

• Set and clearly communicate team goals and priorities in alignment with departmental goals and budgets
• Develop the budget and assign resources to meet the team goals
• Provide the resources and guidance required for employees to perform effectively
• Develop procedures to ensure high safety and quality, and course-correct as needed
• Identify customers' needs and ensure service excellence in meeting those needs

Engage

• Be the link between the department and the team in defining the strategies to meet team goals
• Provide prompt and clear verbal and written feedback to staff and manage/guide their performance
• Ensure team adherence to regulations, policies and procedures
• Manage the working environment to promote productivity and motivation
• Represent the team in clearing obstacles to high performance
• Recruit talents and develop their capabilities
• Monitor and promote strong employee engagement

Grow

• Encourage and share new ways of making the right work easier to do
• Recognize and share incremental improvements in operations
• Promote the success of organizational and department initiatives by clearly aligning programs to the mission