Research Program Manager

Meta•Menlo Park, CA

1d•$97,000 - $139,000

About The Position

The Demography and Survey Sciences (DSS) team at Meta is a centralized research group specializing in rigorous research to answer strategic product and business questions. They are not tied to a specific app or product, but instead work across the company, leveraging expertise in survey research, metric development, causal inference, large-scale data analysis, and qualitative methods like cognitive testing and focus groups. DSS is known for designing and implementing robust measurement and research approaches to address complex, cross-product challenges, such as evaluating machine learning models and improving user and behavior measurement. Research Program Managers build and scale global research programs to strengthen the impact of our research teams. We drive efficiency, cultivate relationships, increase knowledge sharing, and build capacity within our organization to enable Researchers to do their most impactful work. As a Research Program Manager, DSS Research Operations, you will work in conjunction with the existing DSS ResOps team and the larger Global Research Organization team to identify overlaps and synergies between research programs and practices across DSS enabling increased research effectiveness. In this role, you will define, establish, and maintain global operational and team-wide programs as well as create, manage, and scale processes to support the growing team. You'll utilize a full range of organizational and effective communication to help our team operate at their highest and most effective level.

Requirements

5+ years of relevant professional experience
Experience with establishing programs and leading them end-to-end while scaling for growth
Experience integrating AI tools and workflows into business operations or program management
Demonstrated ability to drive responsible and ethical AI adoption in cross-functional settings
Demonstrated ability to translate AI/ML concepts for business stakeholders
Experience building relationships with peers and executive stakeholders and collaborating with cross-functional teams across multiple locations
Experience leveraging data to inform decisions and drive change
Track record proactively taking initiative, embracing ambiguity, demonstrating creativity, being detail-oriented, and delivering results in a highly organized manner
Experience being successful in a time-sensitive environment that requires time management, task prioritization, flexibility, and experience identifying problems and proactively working towards solutions
Communication skills for interacting with and influencing researchers, cross functional stakeholders, organizational leaders, and external partners with the experience adapting communication style to suit different audiences

Nice To Haves

Experience working directly with UX researchers, Finance, and Legal teams
Experience with vendor management and contract negotiation
Demonstrated track record of (1) organization and (2) prioritization approaches and frameworks
Experience with AI/ML-powered products, business process automation, or AI-driven analytics
Track record of leading or supporting AI transformation initiatives in a business context

Responsibilities

Define and manage strategic initiatives that improve team efficiency and impact, establishing operational systems and outcomes
Proactively identify and partner with stakeholders on internal processes, templates, and guidelines to improve team optimization and documentation
Partner with team leadership on establishing effective team communication, information distribution, and cross-team collaboration
Partner with cross-functional teams such as Sourcing and Vendor Engagements to enable customized DSS contracting processes
Manage relationship with select group of preferred vendors, building the business-specific operations and processes needed to streamline intake
Support research planning and allocation by tracking, aligning and executing project specific contracting/PO’s and invoice tracking against open PO’s
Manage the operational and financial efficiency of the DSS budget by maintaining accurate and up-to-date financial datasets, files, and reports
Perform data analysis and provide insights to inform and support business decisions
Prepare metric-driven status reports by gathering, analyzing and summarizing relevant information
Proactively manage expectations: define clear program roadmaps, provide frequent program updates, identify and communicate risks and adjustments, and ensure commitments are delivered
Provide adaptable approaches that meet team needs, including the ability to move fast and make progress or navigate blocks quickly
Serve as a link to the Global Research Ops team, leveraging new processes or best practices when relevant and collaborating on programs specific to the team’s needs
Facilitate relationships between teams, move initiatives forward, find resources, escalate and raise concerns to appropriate owners early and resolve open issues that prevent progress