Director of Applied Analytics (Senior Public Service Administrator, Option 3)

Essential Functions

•    Subject to administrative approval, serves as the Director of Applied Analytics for the Department of Innovation & Technology, planning, developing, organizing, controlling, and managing enterprise business analytics initiatives to evaluate program operations, service delivery effectiveness, fiscal impact, and performance outcomes.
•    Provides enterprise leadership in translating complex analytics into strategic narratives for executive and legislative audiences such that data analysis tells a cogent story.
•    Architects and approves tiered data literacy frameworks to improve analytics competency across executive, managerial, and practitioner audiences.
•    Serves as enterprise authority for advanced statistical and supervised machine learning methodologies supporting predictive, forecasting, simulation, and evaluative analytics across agencies.
•    Leads enterprise governance of supervised machine learning and predictive models, including lifecycle management, MLOps standards, and model risk detection to ensure sustained reliability in production environments.
•    Serves as full-line supervisor.
•    Keeps abreast of new developments in the information technology field by continuing education through online training platforms, in person meetings, training sessions, seminars, and conferences to increase familiarity with and remain current on products, vendors, techniques, and procedures.
•    Performs other duties as required or assigned which are reasonably within the scope of the duties enumerated above.

Minimum Qualifications

•    Requires knowledge, skill, and mental development equivalent to completion of four (4) years of college with coursework in management information systems, information technology, computer science, Statistics, Mathematics, Data Science, Economics, Engineering, Operations Research, Public Policy, or a directly related Information Technology field.
•    Requires prior experience equivalent to four (4) years of progressively responsible administrative experience in a public or private business Information Technology organization.
•    Requires three (3) years of professional supervisory or managerial experience over analytics, data science, operations research, business intelligence, or analytics engineering staff.

Preferred Qualifications

•    Six (6) years of professional experience directing large scale business analytics or program performance evaluation initiatives across multiple divisions or agencies, including production deployment and lifecycle management of predictive and machine learning model and/ or business analytics frameworks that assess service delivery effectiveness and drive measurable operational or policy improvement.
•    Four (4) years of professional experience translating complex statistical, predictive, and evaluative analytics into executive level strategic narratives, including demonstrated success developing structured data storytelling frameworks that improve decision velocity, executive comprehension, or performance outcomes.
•    Four (4) years of professional experience serving as a senior advisor or enterprise authority on strategic and accessible recommendations and confidential executive briefs that stem from finding from quantitative methods evaluating modeling risk, exercising independent statistical judgment, and shaping enterprise analytics strategy and governance.
•    Five (5) years of professional experience exercising independent judgment in evaluating model performance risk and program performance outcomes leveraging model validation and statistical integrity techniques, including cross validation, precision/recall, AUC, RMSE, sensitivity analysis, robustness testing, and interpretation of probabilistic outputs and uncertainty.
•    Four (4) years of professional experience overseeing the production deployment and full lifecycle management of predictive or supervised machine learning models, including establishing and governing enterprise MLOps standards covering development, validation, deployment, monitoring, drift detection, automated testing, retraining workflows, and model risk detection in production environments.
•    Four (4) years of professional experience designing and implementing enterprise data literacy and analytics competency frameworks, including tiered curriculum models aligned to organizational maturity and targeted to executive, managerial, and practitioner audiences.
•    Four (4) years of professional experience developing and enforcing enterprise level analytics standards, including performance measurement frameworks, policy and procedure design, reproducibility requirements, and methodological rigor for evaluative, predictive, and comparative analytics.
•    Four (4) years of professional experience with modern analytics, modeling, and visualization platforms, such as Azure ML, Databricks, Python, R, SAS, MLflow, Power BI, or Tableau, including experience directing teams in developing dashboards, decision support tools, and standardized reporting structures.
•    Extensive knowledge of regression, classification, clustering, time series forecasting, simulation methodologies, and supervised machine learning approaches, with demonstrated ability to embed predictive analytics into operational processes, applications, and enterprise decision workflows.
•    Demonstrated ability to lead multidisciplinary analytics teams, including oversight of cost benefit analysis, benchmarking, efficiency studies, outcome evaluations, and strategic modeling approaches that support executive planning and legislative reporting.

Conditions of Employment

NOTE: Applicants must possess the ability to meet ALL of the following conditions of employment, with or without reasonable accommodation, to be considered for this position.

•    Requires the ability to verify identity.
•    Requires employment authorization to accept permanent full-time position with the State of Illinois.
•    Requires the ability to pass a position specific, agency required background check and requires self-disclosure of criminal history.
•    Requires the ability to use agency supplied equipment such as laptop, personal computer, work cell phone and any other required equipment or devices.
•    Requires ability to travel in performance of duties.
•    Requires the ability to attend seminars, conferences and training to remain current on methods, tools, ideologies or other industry related topics relevant to job duties.
•    Requires the ability to lift and carry objects or equipment weighing up to 10 pounds. This is considered sedentary work as defined by the U.S. Department of Labor (20 CFR 404.1567(a)). Sedentary work involves lifting no more than 10 pounds at a time and requires occasional lifting, carrying, walking, and standing.
•    Requires adherence to the revolving door restrictions outlined in 5 ILCS 430/5-45. Consequently, employees should be aware that in the event of receiving a non-State employment offer during state employment or within one year immediately following the termination of State employment, they are required to inform the Office of the Executive Inspector General for the Agencies (OEIG) of the Illinois Governor before accepting such non-State employment. Failure to notify the OEIG may result in the imposition of a fine.
•    Requires compliance with the provisions outlined in section 4A-101 of the Illinois Governmental Ethics Act, necessitating the occupant of this position to file of a Statement of Economic Interest. Pursuant to the Illinois Governmental Ethics Act (5 ILCS 420/4A et seq.), specific state officials and employees are required to annually submit Statements of Economic Interest to the Office of the Secretary of State, which will be accessible to the public for examination and copying. Employees subject to this requirement must also file a Supplemental Statement of Economic Interest with the Executive Ethics Commission, as specified in Executive Order 15-09. Failure to submit these statements in a timely manner may result in fines and penalties.

The conditions of employment listed are incorporated and/or related to any duties included in the position description.