Self-Service Modernization Manager

Standard Job Description

We're at a pivotal moment in our data transformation journey. As the Manager of Self-Service Modernization, you'll be the strategic leader driving our evolution from legacy tools to modern, self-service analytics platforms that empower thousands of users across the enterprise to make faster, data-driven decisions.

This role combines strategic vision with hands-on leadership—you'll chart the multi-year modernization roadmap, lead a team through complex migrations, and partner closely with customers to ensure they don't just adopt new tools, but thrive with them. You'll bridge technical strategy with organizational change management, balancing the needs of architecture teams, business stakeholders, and end users while fostering a culture where analytics drives innovation.

If you're energized by transformation initiatives, excel at building partnerships across technical and business teams, and know how to lead people through change with empathy and strategic clarity, this is your opportunity to make enterprise-wide impact.

Key Responsibilities:

• Develop and implement strategic roadmap for self-service analytics solutions
• Partner with Architecture team on future technical strategy and tool/capability assessments
• Define and execute multi-year modernization strategy for legacy tools
• Lead executive-level customer relationships and collaborate with cross-functional teams to identify analytics needs and develop solutions
• Build migration strategies that enhance user experience and minimize business disruption
• Manage escalations and resolve complex customer issues
• Manage direct staff and staff augmentation partnerships, including vendor relationships and performance
• Develop comprehensive training strategy and lead OCM team in creating training content, user documentation, and enablement programs
• Design organizational change management plans, communication strategies, and adoption campaigns for tool migrations
• Foster culture of innovation, continuous learning, and data-driven decision-making
• Manage vendor contracts and tool licenses

Leads those who define how the data will be stored, consumed, integrated and managed by different data entities and IT systems, as well as any applications using or processing that data in some wayLeads the design and implement data solutions by defining database physical and virtual structures and functional capabilities, security, back-up, and recovery specifications; Perform data modeling, data architecture map, data governance for data at rest; Work through all stages of a data solution lifecycle, e.g., analyze / profile data, create conceptual, logical and physical data model designs, architect and design ETL, reporting and analytics; Ensures that an organization follows a formal data standard and that its data assets are in line with the defined data architecture and/or with the goals of the business; Maintains metadata registry, oversees data management, optimizes databases and/or all data sources; Forward looking to future data management techniques and processes

Basic Qualifications

• Background in Business, Computer Science, Information Systems, or related field
• 5+ years of experience in analytics, business intelligence, or data platforms
• Demonstrated experience leading technical teams
• Proven track record developing strategic roadmaps for analytics or BI solutions
• Experience managing staff augmentation or vendor partnerships
• Experience with enterprise analytics tools (Tableau, PowerBI, or similar)
• Strong background in user enablement, training development, or change management
• Demonstrated ability to collaborate across cross-functional teams
• Excellent presentation and communication skills at all organizational levels
• Ability to manage competing priorities and multiple complex initiatives simultaneously

Desired Skills

• Experience managing enterprise analytics services, technical support, or technical account management teams
• Background in training program development
• Experience with modern cloud analytics platforms and self-service BI tools
• Knowledge of analytics best practices
• Experience with legacy system modernization and tool migrations
• Understanding of data governance and analytics architecture principles
• Experience evaluating and selecting enterprise technology solutions
• Ability to build and maintain executive-level relationships