Lead Systems Programmer

TITLE: Lead Systems Programmer

About You:

You have a strong sense of urgency and you thoughtfully weigh multiple options before making decisions.

You enjoy being a key part of a strong, positive and closely-knit team.

You have the ability to learn quickly and thoroughly while continually recognizing and adapting to changing conditions.

You are a problem solver and love the challenge of new problems.

You are an innovative, outside the box thinker, who is undaunted by failure.

You are task-focused who quickly notices and pushes to solve problems.

About Us:

Established in 1874, we have grown to 23 schools, serving over 11,000 students with over 50 languages spoken by our students.

Our organization is centered around our values and beliefs that our students are confident self-advocates with interpersonal and critical thinking skills who productively and innovatively make a positive impact in their current and future communities.

We are proud of the family-like culture that permeates our system. Our system boasts award winning faculty and principals, high achieving students, signature programs and unparalleled parental and community support.

We take our mission and vision seriously and we are committed to inspiring excellence in every child and every adult so that our students are prepared to embrace the opportunities of tomorrow. At TD3, you have an opportunity to change the world and life trajectory of over 11,000 students.

Who We’re Looking For

Minimum Qualifications:

• Bachelor’s Degree in Statistics, Mathematics, Computer Science or a related field (required).
• Experience with open source data and analytics tools while conducting analyses on large and unstructured data sets.
• The ability to understand the needs of our organization and how data can meet those needs.
• Ability to manage and manipulate large datasets, to organize and restructure data for complex analysis.
• Knowledge of advanced data mining and analysis techniques, data security protocols, statistical programming tools, (e.g., R, Python, SQL), data visualization tools (e.g., Tableau, D3, AJAX or jQuery), complex mathematical calculations and projections, data warehouse tools, machine learning techniques, including classification and outlier detection of data.
• A strong commitment to service and personal accountability.
• The ability to transform data and complex concepts into simple, easy to understand and compelling presentations.
• Excellent organizational, written, communication and problem-solving/creative thinking skills.
• Performs other duties/tasks as assigned by the Superintendent.

ESSENTIAL FUNCTIONS:

(Essential functions, as defined under the Americans with Disabilities Act, may include any of the following tasks, knowledge, skills, and other characteristics. This list is ILLUSTRATIVE ONLY, and is not a comprehensive listing of all duties and responsibilities performed by the incumbents of this class.)

About the Role

Why the role exists:

Our community is rapidly changing, we operate in a market that is constantly evolving and adapting to the unique needs of our constituents. We have an opportunity to leverage our resources and reimagine the learning and working environments/experiences for our students, staff and community.

It’s time for us to take a more strategic, data-driven, and sophisticated approach in our use of education intelligence data to accelerate growth, retain talent and optimize learning outcomes for students. This starts with someone who can use data to answer and solve problems, uncover insights, patterns and trends in complex data that may indicate problems with our system or stakeholder satisfaction.

We’re looking for someone who is passionate about data and can develop predictive and statistical models, insights, patterns, visualizations, that can be used to improve decision making and to turn data into actionable, data-driven insights that enhance the overall system.

This is a rare opportunity for an individual to step in and be a part of transforming an organization's outcomes and student learning environments.

It also represents a chance for this person to be part of the innovation enterprise team for our organization, and enjoy significant personal and professional growth along the way.

Responsibilities & Deliverables:

The Lead Systems Programmer gathers and evaluates data across multiple, diverse sources in order to create innovative and scalable learning solutions aimed at improving educational opportunities/outcomes for all students and our district's employee experience. This role will support the development of dashboards, data visualizations and provide foresight and thought leadership into trends emerging from our data, while also leveraging the insights of the Superintendent to quickly adapt and pivot programs and/or strategies to ensure programmatic and operational excellence and overall sustainability. This role will perform data science work involving the collecting, analyzing and management of large data sets to guide organizational decisions and model various market conditions to provide information for district initiatives. Also the role involves designing and constructing new processes for data modeling and production using algorithms, predictive models, prototypes and custom analysis.

The Lead Systems Programmer analyzes large amounts of raw information to find patterns that will help improve the employee experience, community confidence and student success. The scope will include analysis of current and historical data on students, staff, area of focus workload, enrollment, retention and graduation. The Lead Systems Programmer executes strategic, innovative data driven analyses that provide valuable insight, working closely with other members of the Innovation Enterprise in gathering, analyzing and reporting data.

Central to the role will be coordinating and executing the following strategies to ensure that the Superintendent/CEO and or designee can meet or exceed our district’s strategic plan goals while building on our rich traditions and our reputation with existing, past and future stakeholders.

• Internal and external communications execution:

• Apply mathematical statistics, algorithm design, modeling, optimization and descriptive statistics to support and drive the development of data-driven educational products and services for our organization.
• Drives the collection of new data and refines existing data sources to ensure a robust and comprehensive data set on which to base findings and recommendations; obtains, cleans and converts data sources, ensuring that all operations comply with local, state, and federal data security laws and regulations regarding student information.
• Communicates findings to a variety of stakeholders, at differing levels of technical proficiency, to share data analysis results, gather feedback, and create momentum to adopt new and improved learning solutions..
• Develops, implements and maintains records and information dashboards to track and report on project, statuses and outcomes.
• Develops and manages predictive modeling algorithms to mine large data sets in order to make decisions and discover solutions to organizational problems..
• Develops and implements databases, data collection systems and other strategies that optimize statistical efficiency, accuracy and quality.
• Develops data quality measures, analyzes data quality results and implements necessary changes to ensure data quality improvement.
• Gathers, cleans, processes, complies and queries raw data.
• Codes programs to automate data collection and processing to use for statistical modeling and graphic analysis; builds data visualization tools, dashboards and reports.
• Researches and applies knowledge of existing and emerging data science principles, theories and techniques to inform organizational decisions; researches products to develop new or improved predictive modeling products.
• Identifies and adopts best practices in reporting and analysis: data integrity, design, analysis, validation and documentation.
• Use machine learning and other approaches to analyze and categorize student engagement and learning.
• Build predictive models and machine learning algorithms.

DEPARTMENT: Innovation Enterprise

SALARY: Salary will be determined based on experience, expertise and specific skill sets

WORK YEAR: 12 months

REPORTS TO: Superintendent and/or designee

EVALUATION: Classified Personnel Evaluation