• Assist in the execution of the growth marketing strategy, inclusive of Meta, paid media, influencer, and affiliate, and podcasts, as assigned by the Director of Growth Marketing • Manage and maintain traffic sheets to ensure timely, accurate campaign launches • Oversee Google freelancer relationship and associated ad spend • Support the affiliate partner program with the opportunity to take on increasing ownership as the role grows • Own weekly growth marketing report, produced in coordination with the growth marketing director • Work closely with the Growth Marketing Director to ideate, hypothesize, and interpret growth marketing test ideas, maintaining a testing roadmap that tracks what is queued, in flight, and concluded for continuous improvement • Create weekly creative briefings as needed for agencies and internal teams • Help develop creative concepts and angles for paid ads, contribute ideas to regular ideation sessions, and write production-ready briefs - coordinating the production pipeline from brief to finished asset with UGC creators, editors, and agency partners • Manage day-to-day communication with a defined set of agency partners, keeping deliverables on track and showing up to calls prepared to discuss performance and push work forward • Support and manage paid channels, including: Meta, AppLovin, Google, Podcast, and Affiliate in partnership with the Growth Marketing Manager, contributing ideas and helping drive performance across each • Analyze and interpret weekly performance metrics (CAC, ROAS, and LTV) and present insights to the Growth Director and key stakeholders • Pull and compile the weekly digital performance report across all channels, summarizing what happened, what drove results, and recommended next steps, with the ability to speak to specific optimizations made and their impact on performance

Role Description The Monitoring and Evaluation (M&E) Associate for Rapid Experimentation will support the execution and analysis of A/B tests across GiveDirectly’s programs, contributing to the use of data to inform program and product decisions. This role is fast-paced and iterative - the team runs frequent, lightweight experiments designed to generate actionable answers quickly, and then uses those learnings to refine and improve programs in real time. This includes: - Supporting the execution and analysis of rapid A/B tests across GiveDirectly projects, ensuring that experiments are implemented effectively and contribute to learning within and across projects. - Ensuring experiments are implemented correctly, measured reliably, and analyzed to produce clear and credible results, working closely with Programs, Product, Research teams, and external academic partners to align experimental design with program delivery, data collection, and operational realities. - Translating findings into actionable insights and well-structured learning products that serve multiple audiences - internal program and product teams, and external academic partners, ensuring results inform both immediate decisions and longer-term program direction. In practice, this role is about managing a high volume of rapid experiments and turning results into clear, credible evidence that continuously shapes how GiveDirectly’s programs are refined and improved. Qualifications - Exceptional alignment with GiveDirectly Values and active demonstration of core competencies: emotional intelligence, problem-solving, project management, follow-through, and fostering inclusivity. - Bachelor’s degree (or equivalent) in Economics, Statistics, Public Policy, or a related quantitative field. - 2–4 years of experience working with data in applied settings (e.g., experimentation, evaluation, analytics, or program learning), ideally in development, tech, or operations-focused roles. - Solid understanding of experimental design and causal inference concepts (e.g., randomization, treatment/control groups, units of randomization, statistical power, bias) and how to apply them in real-world program contexts. - Experience using R, Python, or Stata to clean, manipulate, and analyze data, including working with multiple data sources (e.g., survey or administrative data). - Experience collaborating with cross-functional teams (e.g., programs/operations, product, or research) and external partners to implement projects and solve problems. - Fluency in English required. - Comfort working at pace - able to manage multiple workstreams simultaneously, make progress with imperfect data, and iterate quickly based on emerging findings. - Ability to interpret results beyond statistical significance and communicate clear, actionable insights to both technical and non-technical audiences. Requirements - Execute and manage A/B tests across programs. - Conduct power calculations to ensure experiments are both statistically rigorous and feasible to implement within program constraints. - Set up pre-specified experimental designs, applying defined experimental groups, outcome measures, and measurement timelines. - Review experiment setups prior to launch and flag execution and measurement risks that may affect interpretability. - Ensure experiments are well-coordinated and executed as designed, aligning implementation with research plans and integrating smoothly into program delivery across Programs and Product teams. - Work at a fast pace across a portfolio of 2–3 live A/B tests at any given time, designed to generate actionable answers quickly and feed rapid iteration of programs and products. - Ensure accurate measurement and high-quality data for experiments. - Collaborate with external Principal Investigators (PIs) to ensure measurement approaches and data collection are aligned with research design and implementation realities. - Ensure experimental outcomes are captured accurately and consistently by applying established indicator and measurement approaches. - Prepare and manage datasets that are clean, well-structured, and ready for analysis using survey, administrative, and product data. - Identify and flag data quality risks (e.g., missingness, inconsistencies, measurement error) that could affect the validity of experimental conclusions. - Conduct targeted literature reviews to ensure measurement approaches are grounded in evidence and aligned with best practices. - Analyze experimental data and interpret results to inform decisions. - Generate reliable and decision-ready analyses of experimental data from A/B tests. - Assess the magnitude and direction of effects and highlight what the results do and do not suggest, noting key limitations. - Ensure results are clearly understood and appropriately interpreted, given data quality, sample size, and implementation considerations. - Translate results into actionable insights and learning across experiments. - Prepare concise learning products (e.g., memos, summaries) that serve multiple audiences, including internal Programs and Product teams, and external academic partners, ensuring findings are clearly communicated for both technical and non-technical stakeholders. - Prepare and clean de-identified datasets for sharing with external PIs and academic partners, ensuring data is structured, well-documented, and ready for independent analysis. - Contribute to cross-country discussions to ensure learnings from experiments are shared and applied across contexts, and maintain clear documentation so experiments are easy to track, understand, and build on over time. Benefits - A supportive team that works hard and cares hard. - A robust health benefits plan (exact details will vary by country). - Flexible paid time off that staff is encouraged to take. - Allowances for desk set-up and learning and development.

• Define and continuously refine the go-to-market strategy for the Payer and Public Sector segments, including market prioritization, competitive positioning, and solution packaging. • Translate deep domain knowledge of payer operations, Medicaid managed care, Medicare Advantage, and government health programs into actionable strategy and compelling narratives for prospects and internal stakeholders. • Identify white space, emerging policy trends, and shifts in the competitive landscape that inform both near-term pipeline activity and longer-term product investment. • Serve as the senior subject matter expert and executive-level advisor across deals of all sizes — from early-stage pipeline development through large enterprise pursuits. • Partner with Sales leaders on consultative discovery with prospects and customers; help define value pathways and solution strategies tailored to each buyer’s specific business priorities and pain points. • Engage directly with C-suite and senior-level client contacts to build credibility, deepen relationships, and position Innovaccer as a trusted strategic partner. • Build content, decks, ROI models for deals, RFP,RFI responses etc., ensuring responses reflect both technical accuracy and strategic differentiation. • Build the internal business case for new product investments, roadmap priorities, and go-to-market pivots by synthesizing client feedback, deal learnings, and market intelligence. • Collaborate with Product teams on solution positioning, roadmap input, and the development of value propositions for key solution areas including data & analytics, AI, population health, care management, risk adjustment, quality management (HEDIS), utilization management, member engagement, and value-based care. • Partner with Marketing on thought leadership content, conference strategy, and the development of segment-specific collateral. • Coordinate across Sales, Legal, Finance, Customer Success, and technical SMEs to ensure deal teams have the materials and context needed to win. • Lead, develop, and inspire a team of Growth Strategy professionals who deliver presentations, RFP responses, and marketing materials in support of the sales cycle. • Coach team members on strategic thinking, messaging quality, and cross-functional effectiveness; create development pathways that build both tactical excellence and longer-term strategic capability. • Model the standard for subject matter depth and client-centric storytelling across the team. • Represent Innovaccer at industry conferences, panels, and client events as a recognized voice on payer and government health strategy. • Contribute to and review thought leadership content, white papers, and point-of-view materials that differentiate Innovaccer in the market. • Help build Innovaccer’s profile with key stakeholders in the Commercial, Medicaid, Medicare Advantage, and public sector health ecosystem.

• Analyze performance data, customer behavior, and market trends across Mexico and LATAM to identify growth opportunities. • Transform market insights into growth strategies for Mexico. • Adapt global growth initiatives to local markets, including language, culture, and consumer behavior. • Provide strategic guidance across key platforms and channels including Google and Meta. • Build strong relationships with regional and global teams to implement growth initiatives. • Partner with various teams to align on priorities and execute growth marketing initiatives.