Manager, Learning Outcome & Reporting

For 30 years, Per Scholas has been on a mission to drive mobility and opportunity in the ever-advancing technology landscape by unlocking the untapped potential of individuals, uplifting communities, and meeting the needs of employers through rigorous tech training. By teaming up with dynamic employer partners, ranging from Fortune 500 companies to innovative startups, we're forging inclusive tech talent pipelines, fulfilling an ever-increasing need for skilled talent. With national remote training and campuses in 20+ cities and counting, Per Scholas offers no-cost training programs in the most sought-after tech skills, spanning Cloud, Cybersecurity, Data Engineering, IT Support, Software Engineering, and more. To date, 30,000+ individuals have been trained through Per Scholas, propelling their professional trajectories into high-growth tech careers with salaries three times higher than their pre-training earnings. Learn more by visiting PerScholas.org and follow us on LinkedIn, X, Facebook, Instagram, and YouTube.

Per Scholas is seeking a Manager, Learner Evaluations and Analytics to join the Curriculum Solutions Product Design Team. This role will support the organization’s ability to evaluate live learning products, interpret learner outcome and program performance data, and route actionable insights back into curriculum design, refresh, and continuous improvement decisions.

The ideal candidate is a detail-oriented, analytical, and systems-minded professional with strong data analysis, reporting, evaluation design, technical documentation, and cross-functional communication skills. This individual will help ensure that learner performance, certification outcomes, assessment quality, employer relevance, and program effectiveness are measured consistently and translated into meaningful insights for product and curriculum decision-making.

As the Manager, Learner Evaluations and Analytics, you will support the Learning Evaluations and Analytics Designs function within the Curriculum Solutions team. You will help design evaluation plans, define measurement approaches, maintain evaluation data standards, analyze learner and product performance, produce evaluation reports, and support the Evaluation Feedback Loop that informs curriculum refresh, product triage, and continuous improvement.

This role requires someone who can turn data into insight, insight into recommendations, and recommendations into clear inputs for product owners, instructional designers, delivery teams, and senior leaders. You should be comfortable working with learner outcome data, assessment performance, certification results, satisfaction data, dashboards, spreadsheets, and qualitative feedback from instructors, learners, and internal partners.

• →Support the design and implementation of evaluation plans for new, refreshed, and live learning products.
• →Partner with Directors, Product Owners to ensure learning objectives, assessments, and curriculum outcomes are measurable and aligned to product goals.
• →Contribute evaluation methodology requirements during product design phases, including measurability input for learning objectives, assessments, learner performance measures, and post-launch evaluation.
• →Help define learner, program, and outcome-level success measures, including completion, certification attainment, assessment performance, retention, learner satisfaction, employer satisfaction, and job-readiness indicators.
• →Support the development of evaluation frameworks, data collection plans, rubrics, surveys, dashboards, and reporting tools.
• →Ensure evaluation approaches align to the Product Design Team’s ADDIE-based process, including the feedback loop from live product performance into refresh triage and product improvement decisions.

• Gather, clean, organize, analyze, and maintain learner outcome and academic performance data across assigned products and cohorts.
• Analyze assessment results, certification performance, completion data, learner progress, and other indicators of product effectiveness.
• Identify trends, risks, performance gaps, and improvement opportunities across cohorts, products, domains, and delivery models.
• Produce clear, accurate, and business-relevant reports that translate learner performance data into actionable insights for curriculum, delivery, and leadership stakeholders.
• Maintain historical product performance records and support the development of portfolio-level performance summaries.
• Monitor data quality, source consistency, reporting cadence, and caveats to ensure stakeholders understand what the data does and does not indicate.
• Support analysis of both quantitative and qualitative data, including learner surveys, instructor feedback, employer feedback, assessment performance, credential outcomes, and post-launch evaluation findings.

• Review learner performance data to identify potential curriculum, assessment, delivery, or learner support issues.
• Support Product Design, Product Development, Product Delivery, Instructor Development, and Training Delivery teams by providing evidence-based input on curriculum and assessment effectiveness.
• Collaborate with Product Owners and instructional design partners to determine whether learner performance gaps indicate a need for curriculum refresh, assessment revision, delivery support, instructor enablement, or additional learner interventions.
• Support the development and refinement of grading rubrics, assessment criteria, data collection instruments, and performance measurement tools.
• Analyze whether assessments are being administered consistently and in alignment with curriculum intent, cohort schedules, and product requirements.
• Document challenges surfaced during the cohort lifecycle, including issues related to assessments, grading policies, learner performance, retakes, tutoring, learner readiness, and assessment administration.
• Recommend improvements to assessment structure, scoring practices, learner support triggers, and data collection processes.

• Develop and maintain recurring reports, dashboards, data summaries, and insights decks for internal stakeholders.
• Translate complex learner outcome and performance data into clear narratives, visualizations, recommendations, and decision-ready insights.
• Support quarterly or periodic product performance reporting, including domain-level rollups and portfolio-level summaries.
• Maintain reporting schedules, data refresh timelines, data dictionaries, metric definitions, and reporting documentation.
• Ensure reports are accurate, concise, stakeholder-ready, and aligned to organizational decision-making needs.
• Use tools such as Google Sheets, Microsoft Excel, Tableau, Power BI, Salesforce, Canvas, Airtable, Asana, and Google Workspace to support evaluation and reporting workflows.
• Partner with Product Operations to ensure reporting outputs, evidence packets, and recommendations are tracked appropriately in designated systems of record.

• Support the Evaluation Feedback Loop by routing learner outcome data, program performance findings, assessment insights, and product improvement recommendations back to the Product Design Team.
• Collaborate with Directors, Product Owners to provide evaluation evidence that informs product refresh, curriculum triage, backlog decisions, and product improvement priorities.
• Partner with the Sr. Director, Product Management to prepare performance rollups, evaluation findings, and recommendations for product review and decision-making.
• Collaborate with Product Operations to support operational cadence, reporting timelines, documentation standards, and visibility into evaluation-related work.
• Work cross-functionally with Product Development, Product Delivery, Training Delivery, Instructor Development, Evaluation, Operations, and site-based partners to understand data context and improve product performance.
• Partner with IDQA or related instructional support teams when instructor-side feedback raises questions about learner outcomes, assessment validity, instructional effectiveness, or product design.
• Support product triage conversations by distinguishing between curriculum issues, assessment issues, delivery issues, learner support needs, and data quality concerns.

• Maintain accurate records of learner academic performance, assessment results, evaluation findings, product performance data, and reporting artifacts.
• Support data governance practices by documenting metric definitions, data sources, reporting cadence, assumptions, limitations, and known caveats.
• Ensure evaluation data and reports are organized, accessible, version-aware, and aligned to internal documentation standards.
• Maintain data quality controls to ensure information is accurate, complete, consistent, and presented in a clear and business-relevant manner.
• Document recommendations, risks, unresolved questions, and follow-up actions resulting from evaluation findings.
• Support continuous improvement of evaluation templates, reporting tools, dashboards, data collection instruments, and insight repositories.
• Ensure appropriate confidentiality, professionalism, and care when working with learner data and performance records.

• 4+ years of experience in learner analytics, education evaluation, program evaluation, assessment analysis, data reporting, learning operations, academic performance tracking, or a related field.
• Experience gathering, cleaning, analyzing, maintaining, and reporting learner performance or program outcome data.
• Strong analytical skills, including the ability to identify trends, interpret data, surface risks, and translate findings into recommendations.
• Advanced knowledge of Microsoft Excel and/or Google Sheets, including formulas, pivot tables, charts, data validation, and structured reporting.
• Experience with learning management systems such as Canvas or similar platforms.
• Experience developing reports, dashboards, presentations, or data visualizations using tools such as Tableau, Power BI, Google Looker Studio, Google Slides, PowerPoint, or similar platforms.
• Strong written communication skills, including the ability to produce concise reports, insights summaries, evaluation findings, and stakeholder-ready recommendations.
• Ability to communicate data clearly to both technical and non-technical audiences.
• Strong attention to detail, data quality, version control, documentation discipline, and follow-through.
• Ability to independently manage priorities, recurring reporting cycles, and multiple concurrent projects in a fast-paced environment.
• Strong collaboration skills and ability to work cross-functionally with product, curriculum, instruction, delivery, evaluation, and operations teams.
• Ability to handle learner performance data with confidentiality, professionalism, and sound judgment.

• BA/BS degree or equivalent professional experience in education, data analytics, evaluation, instructional design, learning sciences, statistics, social sciences, workforce development, or a related field.
• Experience in workforce development, adult learning, technical training, nonprofit education, bootcamp-style training, or scaled learning environments.
• Familiarity with evaluation models or frameworks, including Kirkpatrick, ADDIE, outcomes-based evaluation, competency-based assessment, or continuous improvement models.
• Experience working with SQL, relational databases, Salesforce, Canvas data, Tableau, Power BI, or other structured data systems.
• Experience developing or supporting assessment rubrics, learner performance measures, survey instruments, or program evaluation tools.
• Familiarity with certification, completion, retention, placement, learner satisfaction, employer satisfaction, and other workforce training outcome measures.
• Experience synthesizing qualitative feedback from instructors, learners, employers, or internal stakeholders.
• Experience supporting pilot evaluations, product refreshes, curriculum improvement cycles, or post-launch product performance reviews.

If you have any questions about this role, please feel free to email our Talent team at jobs@perscholas.org. We look forward to viewing your application!

• Outcomes-oriented: prioritizes learner success, product effectiveness, credential attainment, job readiness, and measurable performance improvement.
• Data-driven: uses evidence to inform recommendations and avoids relying on assumptions when data is available.
• Detail-oriented: maintains accuracy, consistency, documentation quality, and reporting discipline.
• Systems thinker: understands how curriculum, instruction, assessment, learner supports, delivery operations, and outcomes data connect.
• Strong collaborator: builds trust across Product Design, Product Development, Product Delivery, Training Delivery, Instructor Development, Operations, and leadership stakeholders.
• Clear communicator: can explain data findings, risks, and recommendations in plain language.
• Continuous improvement mindset: actively looks for ways to improve reporting processes, evaluation tools, data quality, and product performance.
• Mission-aligned: believes that high-quality training, strong evaluation, and data-informed improvement can expand access to meaningful technology careers.

We're proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or national origin.

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