Pipeline Management & Reporting Manager
Listed on 2026-07-31
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IT/Tech
Data Analyst, Data Science Manager, Business Intelligence
Overview
AARP is the nation's largest nonprofit, nonpartisan organization dedicated to empowering people 50 and older to choose how they live as they age. With a nationwide presence, AARP strengthens communities and advocates for what matters most to the more than 100 million Americans 50-plus and their families: health and financial security, and personal fulfillment. AARP also works for individuals in the marketplace by sparking new solutions and allowing carefully chosen, high-quality products and services to carry the AARP name.
As a trusted source for news and information, AARP produces the nation's largest-circulation publications,
AARP is the nation's largest nonprofit, nonpartisan organization dedicated to empowering people 50 and older to choose how they live as they age. With a nationwide presence, AARP strengthens communities and advocates for what matters most to the more than 100 million Americans 50-plus and their families: health and financial security, and personal fulfillment. AARP also works for individuals in the marketplace by sparking new solutions and allowing carefully chosen, high-quality products and services to carry the AARP name.
As a trusted source for news and information, AARP produces the nation's largest-circulation publications, AARP The Magazine and the AARP Bulletin.
The Pipeline Management & Reporting Manager collects, manages, researches, and analyzes data to develop insights for use in decision-making and setting business priorities. Produces and distributes scheduled reports. Consults with management to discuss data insights and trends. Collaborates with management to identify opportunities to streamline data processes and to develop new procedures that support the business unit/department.
Responsibilities- Collects, manages, analyzes, synthesizes, and provides data to identify trends, draw insights, and address critical questions to achieve organizational objectives. Works with management teams to develop performance measurement frameworks (i.e., KPI's, metrics, etc.) and to prioritize analytics efforts.
- Works with cross-functional teams to align and integrate data platforms/process/reporting capabilities to ensure superior experience, functional excellence, and develop operational efficiencies. Manages data quality and provides support to various projects/analysis, gathering data, and presenting results.
- Determines data analysis strategies and advises staff on statistical and data analytic issues. Conducts and/or supervises data analyses, including statistical analyses as required.
- Contributes to the development of long-term goals and strategic plans to ensure continued successful growth and sustainability. Coordinates and integrates division plans with the organization’s business goals and objectives. Reviews achievement of performance versus strategic plans.
- Evaluates existing programs to identify improvements and to measure outcomes. Analyzes and tests current processes and systems to determine effectiveness and efficiency, informing change efforts and continuous improvement of analytics practices and approaches.
- Serves as an expert resource on data sources, tools, and analytical procedures/methodologies. Provides expertise including peer review, data interpretation or related technical assistance, training references, and/or consultation. Evaluates and integrates new or existing data sources, tools, and analytical techniques by monitoring key news, policies, and/or market trends.
- Develops clear, well-integrated research deliverables, including through data visualization and graphics, that communicate data and insights. Presents data and insights to internal and/or external audiences (for example: media, legislators, press conferences, organization decision makers) in a clear and concise manner.
- Ensures analytics and reporting adhere to enterprise data governance, privacy and data-sharing standards by applying approved policies.
- Bachelor's degree in Business, Analytics, Data Science, Statistics, Economics, Information Systems, Computer Science, Mathematics, or a related field required.
- 5+ years of experience in business analytics, business intelligence, data visualization, forecasting, reporting, statistical analysis, or a related analytical function.
- Demonstrated expertise collecting, managing, analyzing, and synthesizing complex data sets to generate actionable insights that support business and operational decision-making.
- Proven experience developing and managing executive performance measurement frameworks, including KPIs, pipeline analytics, forecasting models, performance dashboards, and reporting solutions that drive organizational objectives.
- Strong ability to collaborate with cross-functional teams to integrate data platforms, improve reporting capabilities, enhance operational efficiencies, and support business development and partnership initiatives.
- Experience conducting and interpreting statistical analyses, identifying business trends,…
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