Senior Manager II, Data Science Analytics

Major Duties/Essential Functions

• Exercises leadership in integrated program management to include project initiation, planning, organization, implementation, administration, management, and sustainment of activities and services of the office.
• Designs and executes advanced data analytics, cutting-edge tools, and interactive dashboards to enhance value for the Division.
• Serves as a subject matter expert and data catalyst for enterprisewide student, teacher, and staff data initiatives.
• Led advanced data analysis to identify innovative solutions for addressing complex challenges.
• Integrates datasets from diverse program areas across the Division to generate meaningful and insightful data analysis.
• Evaluates and interprets outcomes of pilots, programs, and processes to optimize efficacy and efficiency within the department.
• Leads a team of data experts and data scientists to establish and implement best practices of data cleansing, validation, and quality assurance.
• Applies adept interviewing skills to elicit, analyze, validate, specify, and verify project stakeholder's business needs.
• Ensures regular and as-needed communication of program effectiveness and progress to stakeholders.
• Uses sophisticated techniques, design methodologies, modeling, and optimization to address intricate questions and challenges.
• Collaborates with other internal research, state reporting, and data teams to enhance data collection and refine existing data sources.
• Develops refined presentations, comprehensive documentation, and analytical resources for Division leadership.
• Demonstrates expertise in user-level security for dashboard and reports based on precise business requirements.
• Tracks and monitors budgets and provides recommendations and advice related to budget development and forecasting.
• Manages data compilation, analysis, and reporting for evaluation and future planning.
• Presents information and recommendations to Division leadership team.
• Remains current on data, visualization, and analytics trends and integrates new knowledge into advanced solutions, sharing insights with the team.
• Oversees the work of vendors or contractors.
• Performs related duties as required or assigned.

Qualifications

• Any combination of education and experience equivalent to a bachelor's degree in education, data science, business administration, statistics, computer science or related field.
• Five (5) years of experience in data analysis, some of which shall have been in a supervisory or leadership role.
• Advanced degree(s) beyond the minimum degree requirement in a relevant field may be considered for some experience.
• Knowledge of programming standards and cutting-edge techniques.
• Knowledge of academic datasets, data collection methodologies, and procedures.
• Knowledge of and ability to utilize statistical, reporting, and database packages (such as or equivalent to Snowflake, Oracle, SPSS, and APEX).
• Skills in coding solutions and ability to develop data tools, data analytics, and visualizations, often under tight time constraints in emerging environments.
• Skills in statistical/quantitative methods and data analysis utilizing technology tools for student data and instructional planning and evaluation tasks.
• Proficiency writing SQL.
• Proficiency with diverse data sets from multiple sources and in multiple formats.
• Ability to identify and understand complex dashboard, visualization, and reporting based on business requirements.
• Ability to develop reports and/or complex dashboards with reporting tools such as Tableau, or other reporting and business intelligence tools.
• Ability to script for ETL/ELT processes using tools such as Python, Informatica, etc.
• Ability to think strategically and problem solve.
• Ability to effectively lead teams in multiple projects.
• Ability to facilitate meetings and/or present information to groups.
• Strong organizational and time management skills.
• Ability to maintain collaborative working relationships with various stakeholders, including teachers and school leaders.
• Ability to communicate technology concepts effectively with technically proficient and non-technically proficient individuals.