Senior Manager of Data Strategy & Analytics presso The Trevor Project
The Trevor Project · États-Unis d'Amérique · Remote
Roles and Responsibilities:
- Data Strategy & Product Ownership
- Develop, socialize, and maintain the multi-year data strategy and roadmap and define the path for advancing the organization’s data maturity curve
- Ensure Data Strategy, metrics, and KPIs align with the organization’s longer-term vision, strategic plan, and goals
- Work closely with the Director of Organizational Performance and key leaders to drive the development of organizational KPIs and ability to track organizational performance progress
- Serve as the primary Data Product owner for the organizational backlog, partnering with key business stakeholders to gather requirements, and partnering with the Technology team to prioritize development of new data infrastructure, models, and assets
- Develop business cases and lead planning efforts to justify necessary investments in data capabilities, tools, and staffing
- Analytics Center of Excellence
- Lead the formal establishment and continuous evolution of a Data Analytics Center of Excellence (CoE) to ensure consistent, high-quality data and analytical practices across the organization
- Define and enforce standards for data visualization, dashboard design, tool usage, and the consistent definition of all key organizational KPIs and metrics
- Partner with internal teams to develop and deliver Data Literacy training and resources to improve the overall data and analytical skills and confidence of non-technical staff
- Own the centralized repository for analytical assets, including reporting definitions, dashboard templates, and analytical documentation, ensuring organizational knowledge is accessible and accurate
- Advanced Analytics Delivery
- Lead and execute advanced analytical projects that address key strategic questions for the organization’s strategy, CEO's office, and senior leadership, ensuring insights are actionable and tied to business outcomes
- Oversee the development and maintenance of high-quality, executive-level dashboards and reporting, ensuring they tell a clear, concise data story
- Manage, mentor, and guide a small team of Data Analysts (directly and indirectly), ensuring technical rigor, analytical excellence, and continuous professional development
- Stakeholder Management & Collaboration
- Act as the trusted advisor and strategic partner to the SVP of Strategy & Innovation, Advisor to the CEO and other executive leaders, proactively identifying opportunities to leverage data for greater impact and accelerated pace towards org goals
- Drive alignment and collaboration across Development, People, Operations, Technology, and Programs to ensure common understanding of metrics and consistency in data usage
Minimum Qualifications:
- Minimum of 7+ years of experience in Data Analytics or Business Intelligence with at least 3 years of experience defining and executing a multi-year Data Strategy or Roadmap, and/or Center of Excellence
- Expert proficiency in SQL for complex querying and hands-on mastery of at least one major BI platform (e.g., Tableau, Power BI)
- Demonstrated working knowledge of data modeling concepts, cloud data architectures (ETL/Data Warehouse), and statistical methodologies sufficient to scope and govern advanced analytics projects
- A solid foundation in statistical concepts (e.g., regression analysis, hypothesis testing, confidence intervals) and scoping / leading projects involving machine learning or predictive modeling
- Functional understanding of analytical scripting languages (Python or R) for advanced analytics and statistical modeling
- A proven track record of applying best practices in data visualization specifically for C-suite/Executive audiences, ensuring clarity and strategic focus
- Understanding of core data modeling concepts to direct the Technology team on how data should be structured for analytical use
- Proven ability to manage a complex portfolio of data demands, translating business needs into clear, prioritized technical requirements for Engineering teams (equivalent to a Data Product Owner role)
- Demonstrated experience managing or leading analyst teams, including resource planning, prioritization, and performance management
- Exceptional written and verbal communication skills, with a proven track record of synthesizing complex data into compelling narratives and presentations for C-suite and Board-level audiences.
- Experience leading, developing, coaching, and managing the performance of direct reports
- Proficiency in spoken and written English