Coordinator 2- Performance Management TI (Multiple Positions)

Houston Independent School District•Houston, TX

1d•Onsite

About The Position

The Performance Management TIA Data Systems Coordinator 2 is responsible for the design, implementation, validation, and continuous improvement of all data systems supporting the district’s Teacher Incentive Allotment (TIA) program. This role ensures that student growth measures, teacher eligibility determinations, designation models, and funding projections are accurate, scalable, defensible, and compliant with TEA requirements.

Requirements

Bachelor’s degree in Statistics, Data Science, Economics, Education Research, or related field
1 to 3 years of work experience
Advanced proficiency in R and/or Python for statistical modeling and data automation
Advanced Excel (Power Query, complex formulas, large datasets)
Strong understanding of statistical methods used in education research and evaluation (e.g., descriptive statistics, regression, t-tests, ANOVA, chi-square, confidence intervals, etc.).
Experience working with large, messy, longitudinal datasets
Microsoft Office proficiency
Ability to explain complex models to non-technical audiences
High attention to detail in high-stakes decision-making
Strong documentation and process discipline
Ability to work independently and manage multi-month analytical projects

Nice To Haves

Master’s degree
K–12 education data (assessment, PEIMS, accountability, teacher evaluations)
Teacher evaluation or growth model development
Experience supporting high-stakes accountability or funding systems
Familiarity with TEA accountability and TIA requirements
Knowledge of educational and human resource data systems (e.g., SIS, LMS, state reporting platforms, Oracle) is a plus
Knowledge of statistical modeling for creation of performance metrics.
Excellent written and verbal communication skills; ability to explain complex data in a clear and actionable way.
Power BI proficiency (dashboard building, maintenance, data modeling, publishing)
Power Apps proficiency (app creation, workflow automation, integration with data sources)
Experience with student information systems (e.g., PowerSchool).

Responsibilities

Design and maintain longitudinal student–teacher–course datasets using PEIMS, assessment, and HR systems.
Build automated pipelines to integrate and analyze STAAR and EOC data, local and vendor assessments, PEIMS course/service IDs, and teacher-of-record and co-teaching assignments.
Ensure accurate student–teacher linkage at scale, including shared attribution and weighting.
Conduct large-scale data quality audits to identify missing, invalid, or misattributed records.
Produce internal documentation of all metrics, methodologies, and business rules.
Support TEA submissions with accurate data exports and validation checks.
Develop and maintain student growth models across tested and non-tested subjects.
Lead expansion of reliable growth measures for non-tested subjects to achieve ≥95% teacher eligibility.
Conduct reliability, validity, and stability analyses to ensure fairness across campuses, subjects, and student groups.
Maintain TEA-ready technical documentation for all growth methodologies.
Integrate student growth and observation data into composite effectiveness scores.
Model and simulate Recognized, Exemplary, and Master Teacher designation outcomes.
Perform scenario analysis to test weighting schemes, thresholds, and policy changes.
Support teacher-level reviews, appeals, and exception analyses with defensible data evidence.
Provide regular data briefings to district leadership, principals, and TIA committees.
Support development and maintenance of interactive dashboards for teacher eligibility tracking, campus readiness and risk monitoring, and designation projections.
Build and maintain models projecting TIA allotment revenue under multiple designation and participation scenarios.
Apply campus poverty and rurality multipliers to forecast district and campus-level funding.
Support Finance and HR in modeling compensation distribution strategies aligned to district priorities.
Identify participation gaps and growth-measure risk areas by subject, campus, or population.
Analyze year-over-year trends to improve measure coverage and stability and correlation between student growth and teacher instruction.
Respond to TEA policy updates and adjust models accordingly.
Other duties as assigned.