Role Description
We are seeking an experienced Research Program Manager (Data & Operations) to support a high-impact research organization within a global technology company. This role focuses on bringing operational rigor, analytics, and structure to complex, cross-functional research programs.
The ideal candidate is a self-starter who thrives in fast-moving environments, excels at stakeholder management, and uses data, metrics, and dashboards to drive execution, prioritization, and decision-making. You will play a critical role in improving how research programs are planned, tracked, measured, and scaled.
Key Responsibilities
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Own and run the program operating cadence, including intake, planning support, execution tracking, and stakeholder updates.
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Improve operational documentation and processes, including templates, trackers, SOPs, and workflows.
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Partner cross-functionally to drive alignment, manage dependencies, and unblock execution.
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Analyze program and operational data to identify trends, gaps, risks, and improvement opportunities.
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Build and maintain dashboards and recurring reports to support leadership and stakeholder decision-making.
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Define, standardize, and operationalize KPIs and success metrics, improving clarity and consistency.
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Support ad-hoc data requests and synthesize findings into clear insights and recommendations.
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Strengthen research tracking systems by improving metadata quality, reporting, and visibility across the research portfolio.
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Support vendor usage and spend tracking, enabling better forecasting, planning, and optimization.
Qualifications
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8+ years of experience in program management, project management, operations, or business operations in cross-functional environments.
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3+ years of experience in analytics- or metrics-focused roles (program analytics, business operations, data analysis, or similar).
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Proven experience building dashboards, reports, and metrics frameworks for stakeholders and leadership.
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Strong ability to translate ambiguous problems into structured plans and measurable outcomes.
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Excellent communication, organization, and stakeholder management skills.
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High level of comfort operating independently in fast-paced environments.
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Advanced proficiency with Excel and/or Google Sheets.
Requirements
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Experience supporting research, research operations, product insights, or user research teams.
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Working knowledge of SQL and/or BI tools such as Tableau, Looker, or Mode.
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Experience using AI-enabled tools to improve reporting, synthesis, documentation, or workflow efficiency.
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Strong judgment around data quality, privacy, and responsible AI usage.
Education
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Bachelor's degree in an analytical, quantitative, or related field (or equivalent experience).
Benefits
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High-visibility role supporting a globally scaled product and research organization.
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Opportunity to influence how research programs are measured, prioritized, and scaled.
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Strong exposure to analytics, operations strategy, and cross-functional leadership.
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Work at the intersection of research, data, and operations.