Associate VP Data Analytics

Universal Technical Institute•Phoenix, AZ

1d•Remote

About The Position

Overview The Associate Vice President (AVP) of Data Analytics & Insights (DAI) advances the strategic goals of the Marketing and Admissions departments through data‑driven insights and operational leadership. This role transforms business priorities into actionable analytics strategies, enhances reporting and insight capabilities, and drives performance across marketing and admissions. The AVP also supports the VP of DAI in guiding the analytics team to deliver high‑quality analyses, dashboards, and tools that inform decision‑making and generate measurable results. Responsibilities Partner with VP DAI and executive leadership to execute the strategic direction for data analytics and insights within Marketing and Admissions Develop and operationalize data, analytics, and reporting plans that support marketing and admissions objectives Collaborate with the VP DAI to manage the analytics team to ensure timely, accurate, and actionable deliverables Oversee the collection, validation, analysis, and interpretation of data to inform business strategies Apply advanced analytics techniques to identify trends, risks, and opportunities for optimization Support performance optimization initiatives by delivering insights tied to key business metrics Monitor and evaluate the effectiveness of marketing campaigns and admissions initiatives Implement data-driven enhancements to improve conversion, efficiency, and performance outcomes Develop and maintain dashboards, reporting tools, and KPI tracking mechanisms Strengthen data governance, reporting accuracy, and analytics processes Leverage automation and AI tools to improve data efficiency and reporting scalability Collaborate cross-functionally with Marketing, Admissions, Finance, IT, and Operations to ensure alignment and effective execution Promote a culture of data-informed decision-making and continuous improvement Ensure consistent, high-quality communication of insights to both technical and non-technical stakeholders Establish/maintain a high-performance team of professional, motivated and engaged staff utilizing effective training, performance management and career-development activities while leading them to achieve established business results and performance metrics Recognizes and rewards employee contributions and achievements Other duties as assigned Qualifications Bachelor’s degree in Data Science, Computer Science, Information Technology, Business Analytics, or related field (required) Master’s degree (preferred) Minimum of eight (8) years of experience in analytics, data science, or consumer insights Minimum of three (3) years of progressive leadership experience managing and developing teams Knowledge base and experience should include, supporting marketing, admissions, enrollment, or revenue-driving functions Advanced analytics experience including predictive modeling, segmentation, and statistical analysis Strong understanding of business drivers including revenue, conversion, cost efficiency, and growth Broad knowledge of CRM systems and marketing automation platforms Familiarity with predictive modeling and machine learning applications Strong project management and prioritization skills Independently manage complex tasks and projects Coach and mentor junior team members Analyze problems, evaluate alternatives, and implement effective solutions Present ideas in a compelling and structured format to diverse audiences Demonstrate refined listening skills and emotional intelligence Facilitate training sessions and cross-functional meetings Drive consistent results in a fast-paced environment Leverage enterprise-level tools and systems to streamline processes Create new and better ways for the organization to succeed Develop people to achieve their goals and support organizational success Navigate complex policies, processes, and organizational dynamics with ease Work independently, escalating complex or high-impact issues Drive innovation to improve organizational success Develop others to achieve individual and organizational goals Navigate complex organizational dynamics with confidence Perform effectively amid uncertainty and ambiguity Able and willing to: Communicate, think, learn, and reason Use computers and computer systems (including hardware and software) to process transactions, store documents, enter data, or perform assigned tasks Safely ambulate and/or maneuver when on-site at Company locations Demonstrate and utilize active listening, inductive reasoning, information ordering and category flexibility Ability to use good judgment, problem-solving and decision-making skills Ability to maintain confidentiality and manage sensitive information with discretion Ability to work in a fast-paced environment where deadlines are essential and multiple projects are worked simultaneously Ability to gain, understand and apply information and data as it relates essential functions of the position Ability to foster long-term relationships with stakeholders Ability to execute analytics strategies aligned with executive direction and business priorities Ability to influence cross-functional partners through data and insights Ability to translate complex datasets into clear executive-level reporting Work is performed indoors in a climate-controlled environment when on site at assigned company location. Employees must be able to safely ambulate when on company premises. This position is designated as Remote. Employees must meet minimum technical standards for eligibility and participation. No travel required

Requirements

Bachelor’s degree in Data Science, Computer Science, Information Technology, Business Analytics, or related field (required)
Minimum of eight (8) years of experience in analytics, data science, or consumer insights
Minimum of three (3) years of progressive leadership experience managing and developing teams
Knowledge base and experience should include, supporting marketing, admissions, enrollment, or revenue-driving functions
Advanced analytics experience including predictive modeling, segmentation, and statistical analysis
Strong understanding of business drivers including revenue, conversion, cost efficiency, and growth
Broad knowledge of CRM systems and marketing automation platforms
Familiarity with predictive modeling and machine learning applications
Strong project management and prioritization skills
Independently manage complex tasks and projects
Coach and mentor junior team members
Analyze problems, evaluate alternatives, and implement effective solutions
Present ideas in a compelling and structured format to diverse audiences
Demonstrate refined listening skills and emotional intelligence
Facilitate training sessions and cross-functional meetings
Drive consistent results in a fast-paced environment
Leverage enterprise-level tools and systems to streamline processes
Create new and better ways for the organization to succeed
Develop people to achieve their goals and support organizational success
Navigate complex policies, processes, and organizational dynamics with ease
Work independently, escalating complex or high-impact issues
Drive innovation to improve organizational success
Develop others to achieve individual and organizational goals
Navigate complex organizational dynamics with confidence
Perform effectively amid uncertainty and ambiguity
Able and willing to: Communicate, think, learn, and reason
Use computers and computer systems (including hardware and software) to process transactions, store documents, enter data, or perform assigned tasks
Safely ambulate and/or maneuver when on-site at Company locations
Demonstrate and utilize active listening, inductive reasoning, information ordering and category flexibility
Ability to use good judgment, problem-solving and decision-making skills
Ability to maintain confidentiality and manage sensitive information with discretion
Ability to work in a fast-paced environment where deadlines are essential and multiple projects are worked simultaneously
Ability to gain, understand and apply information and data as it relates essential functions of the position
Ability to foster long-term relationships with stakeholders
Ability to execute analytics strategies aligned with executive direction and business priorities
Ability to influence cross-functional partners through data and insights
Ability to translate complex datasets into clear executive-level reporting

Nice To Haves

Master’s degree (preferred)

Responsibilities

Partner with VP DAI and executive leadership to execute the strategic direction for data analytics and insights within Marketing and Admissions
Develop and operationalize data, analytics, and reporting plans that support marketing and admissions objectives
Collaborate with the VP DAI to manage the analytics team to ensure timely, accurate, and actionable deliverables
Oversee the collection, validation, analysis, and interpretation of data to inform business strategies
Apply advanced analytics techniques to identify trends, risks, and opportunities for optimization
Support performance optimization initiatives by delivering insights tied to key business metrics
Monitor and evaluate the effectiveness of marketing campaigns and admissions initiatives
Implement data-driven enhancements to improve conversion, efficiency, and performance outcomes
Develop and maintain dashboards, reporting tools, and KPI tracking mechanisms
Strengthen data governance, reporting accuracy, and analytics processes
Leverage automation and AI tools to improve data efficiency and reporting scalability
Collaborate cross-functionally with Marketing, Admissions, Finance, IT, and Operations to ensure alignment and effective execution
Promote a culture of data-informed decision-making and continuous improvement
Ensure consistent, high-quality communication of insights to both technical and non-technical stakeholders
Establish/maintain a high-performance team of professional, motivated and engaged staff utilizing effective training, performance management and career-development activities while leading them to achieve established business results and performance metrics
Recognizes and rewards employee contributions and achievements
Other duties as assigned