{"id":3511771,"url":"https://alion.io/job/educate-director-of-data-analytics-2","title":"Director of Data Analytics","company":{"id":4489069,"name":"Educate!","domain":"educate.org","url":"https://alion.io/company/educate-4","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"head","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Kenya"],"countries":["KE"],"hiring_countries":["KE","RW","TZ","UG"],"hiring_countries_total":4,"salary":null,"salary_estimate":{"min_usd":26000,"max_usd":55000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":404},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"dbt","optional":false},{"name":"Google BigQuery","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-20T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-10-20T00:00:00Z","board_verified":false,"closed_at":null,"days_open":12,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":12},"description":"Director of Data Analytics\n\nPosition Overview\n\nEducate! is becoming more data- and technology-driven, and the performance metrics function is central to that shift. This function tracks our monitoring metrics—both operational metrics that help implementation teams run programs well, and classic monitoring of whether we are doing the right things: activities, outputs, and near-term outcomes. It works alongside, and hands off cleanly to, a separate evaluation team that owns deeper impact and causal work.\n\nThis is a build role at a pivotal moment, and you will drive two important shifts: First, transforming our current Performance Metrics team, structures, and processes to become AI-native. Second, you will sit on a cross-functional team of senior leaders to implement our predictive analytics strategy, working in partnership with our evaluation, product, implementation, and tech teams.\n\nAs our most senior data leader, the Director of Data Analytics will design and own all four pillars of Educate!’s data function: data design, data engineering and infrastructure, analytics oversight, and data collection. You will operate as a “full-stack analyst” leader: technically fluent in SQL, dbt, and cloud warehousing, while acting as a people leader and a trusted cross-functional partner to Technology, Evaluation, and Product.\n\nExpected Impact\n\nThe specific milestones below will be calibrated with the COO, but within this role’s first year, we expect:\n\nFirst 6 months: You understand the current metrics landscape, team, and data stack, and have established the function’s strategy and operating model alongside the COO. The team is structured and staffed as an AI-native team built to scale.\nBy 12 months: Implementation, product, and leadership teams utilize self-service analytics for 90% of their data needs. The analytics engineering layer on BigQuery is healthy and fully owned, and the team actively utilizes AI-native practices. You are also overseeing data architecture in alignment with the predictive analytics strategy.\n\nWhat You’ll Do\n\nDefining Vision and Structure for Performance Metrics Function\n\nSet the strategy, operating model, and priorities for the performance metrics function.\nEstablish direction, standards, and expectations across the entire department.\nBuild the function’s capability: Establish team structures, develop streamlined processes, and build cross-functional forums to ensure best-in-class data systems—especially as our strategy shifts toward predictive and self-service analytics. Develop your leaders through targeted coaching, clear leveling frameworks, and cultivating a team culture of rigor and continuous learning.\nBuild systems and standards that ensure metrics actively support implementation teams in managing day-to-day program execution.\nMaintain a clear boundary and clean handoff with the evaluation team, ensuring the two functions complement rather than duplicate each other’s efforts.\nPartner with the central Tech team to ensure upstream pipelines meet necessary standards, and effectively direct the shared data engineer toward achieving those goals.\n\nData Engineering and Infrastructure - Build and own the technical foundation\n\nDesign and own Educate!’s end-to-end data architecture, encompassing ingestion, warehousing, transformation, and delivery.\nStand up a modern BI stack featuring self-serve reporting and automated pipelines that local country teams can readily utilize.\nDefine the quality bar for the analytics engineering layer (dbt and the metrics layer on BigQuery) by ensuring accurate, complete, timely, consistent, valid, and traceable data, while holding your team accountable for maintaining that standard.\nBring technical judgment to direct the work, assess quality (including the ability to challenge a data model or a pipeline), and execute effectively through your team.\n\nData Analytics Oversight - Turn data into decisions\n\nCollaborate with product, implementation, and performance metrics teams to define what gets measured and how—spanning operational metrics that support program implementation and classic monitoring of activities, outputs, and near-term outcomes.\nEstablish a function deeply grounded in self-service analytics.\nBuild the capability for the team to deploy multiple dashboards tailored to different audiences across the organization. Define and reinforce a collaborative process that scopes decisions at various levels and maps them to corresponding metrics.\nEnsure the performance metrics team transforms data into dashboards, insights, and decision tools that implementation, product, and leadership teams genuinely utilize.\nRaise data literacy across the organization to ensure teams actively champion and act on data rather than simply collecting it.\nTransition analysts from manual data analysis and reporting to focusing on the semantic layer of our data systems, ensuring it is optimized for AI. Similarly, usher in a shift from the performance metrics team providing manual analysis to a model of self-service analytics complemented by robust dashboards.\nDevelop a strategy to improve frontline data usage in partnership with implementation teams, leveraging AI alongside both qualitative and quantitative data sources. The ultimate goal of this strategy is to ensure program implementation scales with consistency and quality.\n\nPartner and Accelerate Analytics\n\nAct as the senior cross-functional partner to Tech, Evaluation, and Product, and a trusted advisor to the COO.\nSponsor the function’s contribution to the cross-functional data science workstream to help analytics move faster organization-wide.\nChampion shared tools, standards, and ways of working that lift the whole organization’s analytical capability.\n\nWho You Are\n\nYou bring around 7+ years in analytics, data, or M&E roles, including several years building and leading teams. You have managed managers, not only individual contributors.\nYou have built or substantially grown a data or analytics team, and can speak to hiring, leveling, and developing analysts and engineers.\nYou have genuine analytics-engineering depth: you reason fluently about data models, transformations, and a metrics layer, and you are comfortable with SQL, dbt-style workflows, and a warehouse like BigQuery enough to direct a data engineer and judge pipeline quality, even if you no longer code every day.\nYou think in indicators, not just dashboards. You can make data accurate, complete, timely, consistent, valid, and traceable. You can also monitor that quality over time and understand the distinction between monitoring and evaluation.\nYou get teams to act on data. You are an effective cross-functional partner and a clear communicator who can make technical trade-offs understandable to non-technical audiences, including executives.\nYou are energized by the mission — improving learning, earning, and livelihood outcomes for youth across East Africa.\n\nNon-Traditional Backgrounds Are Welcome\n\nThis role does not require a traditional M&E or non-profit background. We equally welcome strong analytics, data-science, or business-intelligence leaders from start-ups, social enterprises, or the private sector who can pick up the mission context quickly. What matters most is analytical depth, leadership ability, and sound judgment. If you bring those strengths from a different setting, we encourage you to apply.\n\nWhat We Offer\n\nA vibrant, mission-driven environment with a supportive and fun team.\nFlexibility — hybrid or fully remote work, depending on location.\nA competitive salary based on experience, with benefits aligned to your country of hire.\nMeaningful learning and growth opportunities as the function and organization scale.\nBenefits aligned with the country of hire (Kenya, Uganda, Tanzania, or Rwanda) and typically include medical and travel insurance, learning & growth opportunities, flexibility on work hours when needed and hybrid work, paid leave plus one week of office closure over the December holidays, and more.\n Director of Data Analytics\n\nPosition Overview\n\nEducate! is becoming more data- and technology-driven, and the performance metrics function is central to that shift. This function tracks our monitoring metrics—both operational metrics that help implementation teams run programs well, and classic monitoring of whether we are doing the right things: activities, outputs, and near-term outcomes. It works alongside, and hands off cleanly to, a separate evaluation team that owns deeper impact and causal work.\n\nThis is a build role at a pivotal moment, and you will drive two important shifts: First, transforming our current Performance Metrics team, structures, and processes to become AI-native. Second, you will sit on a cross-functional team of senior leaders to implement our predictive analytics strategy, working in partnership with our evaluation, product, implementation, and tech teams.\n\nAs our most senior data leader, the Director of Data Analytics will design and own all four pillars of Educate!’s data function: data design, data engineering and infrastructure, analytics oversight, and data collection. You will operate as a “full-stack analyst” leader: technically fluent in SQL, dbt, and cloud warehousing, while acting as a people leader and a trusted cross-functional partner to Technology, Evaluation, and Product.\n\nExpected Impact\n\nThe specific milestones below will be calibrated with the COO, but within this role’s first year, we expect:\n\nFirst 6 months: You understand the current metrics landscape, team, and data stack, and have established the function’s strategy and operating model alongside the COO. The team is structured and staffed as an AI-native team built to scale.\nBy 12 months: Implementation, product, and leadership teams utilize self-service analytics for 90% of their data needs. The analytics engineering layer on BigQuery is healthy and fully owned, and the team actively utilizes AI-native practices. You are also overseeing data architecture in alignment with the predictive analytics strategy.\n\nWhat You’ll Do\n\nDefining Vision and Structure for Performance Metrics Function\n\nSet the strategy, operating model, and priorities for the performance metrics function.\nEstablish direction, standards, and expectations across the entire department.\nBuild the function’s capability: Establish team structures, develop streamlined processes, and build cross-functional forums to ensure best-in-class data systems—especially as our strategy shifts toward predictive and self-service analytics. Develop your leaders through targeted coaching, clear leveling frameworks, and cultivating a team culture of rigor and continuous learning.\nBuild systems and standards that ensure metrics actively support implementation teams in managing day-to-day program execution.\nMaintain a clear boundary and clean handoff with the evaluation team, ensuring the two functions complement rather than duplicate each other’s efforts.\nPartner with the central Tech team to ensure upstream pipelines meet necessary standards, and effectively direct the shared data engineer toward achieving those goals.\n\nData Engineering and Infrastructure - Build and own the technical foundation\n\nDesign and own Educate!’s end-to-end data architecture, encompassing ingestion, warehousing, transformation, and delivery.\nStand up a modern BI stack featuring self-serve reporting and automated pipelines that local country teams can readily utilize.\nDefine the quality bar for the analytics engineering layer (dbt and the metrics layer on BigQuery) by ensuring accurate, complete, timely, consistent, valid, and traceable data, while holding your team accountable for maintaining that standard.\nBring technical judgment to direct the work, assess quality (including the ability to challenge a data model or a pipeline), and execute effectively through your team.\n\nData Analytics Oversight - Turn data into decisions\n\nCollaborate with product, implementation, and performance metrics tea...","description_format":"text","description_chars":16026,"description_truncated":true,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Growth opportunities","Hybrid work"],"hiring_locations":[{"name":"Kenya","iso":"KE","kind":"country"},{"name":"Rwanda","iso":"RW","kind":"country"},{"name":"Tanzania","iso":"TZ","kind":"country"},{"name":"Uganda","iso":"UG","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-30T07:59:17Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":12,"expected_fill_days":39,"reasons":["seen:12","win:early"],"computed_at":"2026-11-01T06:10:25Z"},"pay":null,"html_url":"https://alion.io/job/educate-director-of-data-analytics-2","json_url":"https://alion.io/job/educate-director-of-data-analytics-2.json","meta":{"generated_at":"2026-11-01T08:58:42Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":13876,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-02T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4489069},"rest":"https://alion.io/mcp/rest/get_company?id=4489069"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Feducate-director-of-data-analytics-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Feducate-director-of-data-analytics-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Feducate-director-of-data-analytics-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/educate-director-of-data-analytics-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Feducate-director-of-data-analytics-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3511771}},{"tool":"search_jobs","arguments":{"company":"educate.org","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3511771},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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