FULL_TIME

FEED

UNKNOWN

The Vice President (VP) Analytics and AI Data is an executive business leadership role focused on leveraging data, analytics, and AI, to drive business value, foster a data-driven culture, and ensure the effective governance and utilization of data assets and ecosystem across the organization. 6 or more years of data & analytics, AI, and progressive leadership experience in leading cross-functional teams, multidisciplinary environments, and enterprise-wide data and analytics programs, operating and influencing effectively across the organization and within complex contexts experience required.

<h2>Position Title:</h2>Vice President - VP Analytics and Artificial Intelligence (AI) Data<h2>Department:</h2>Information Systems<h2>Job Description:</h2>The Vice President (VP) Analytics and AI Data is an executive business leadership role focused on leveraging data, analytics, and AI, to drive business value, foster a data-driven culture, and ensure the effective governance and utilization of data assets and ecosystem across the organization. This role is responsible for the creation and management of the data and analytics strategy and operating model. The VP Analytics and AI Data is responsible for establishing, leading, and operating the data & analytics (D&A) function; building trust and managing data; evolving technology capabilities; and developing talent and D&A culture. The incumbent will have a broad understanding of the full range of strategic data and analytics capabilities and the ability to communicate these concepts, methods, and techniques in ways easily understood by other stakeholders. This VP is also responsible for supporting organizational AI initiatives and understanding AI concepts and applications and AI’s applicability within the enterprise. The incumbent understands business objectives and goals; maintains industry domain expertise; and utilizes knowledge of D&A concepts, methods, and techniques, demonstrating the ability to engage and communicate with key stakeholders at all levels of the organization. The VP will facilitate AI and data-driven vision, strategy, and operating models.Essential ResponsibilitiesResponsibilities listed in this section are core to the position.  Inability to perform these responsibilities, with or without an accommodation, may result in disqualification from the position.  <ul><li>Defines data, analytics, and AI strategy, including vision, drivers, and outcomes. Leads the creation (and assures the ongoing relevance) of the organization’s D&A strategy in collaboration with the CEO, business domain leaders, CIO, and other relevant stakeholders.</li><li>Institutes an operating model for data, analytics, and AI that is consistent with the capabilities and competencies required to execute the strategy. The operating model includes the ecosystem, architecture, and delivery model.</li><li>Builds partnerships with executive leadership and board members to ensure that data is being managed as a business asset, data is AI-ready, and by tracking and measuring the value derived from those data assets. Communicates the tangible business value generated from data, analytics, and AI initiatives to stakeholders and executives.</li><li>Maintains authority and accountability for the data assets, analytics used for decision making, and AI solutions that automate decisions and augment human performance. Creates and oversees a centralized data management/data engineering service for sharing certified data products to ensure quality, traceability, timeliness, usability, and cost-effectiveness.</li><li>Oversees delivery models, methods, and practices for creation of data, analytics, and AI products and to ensure consistent application and use of data and analytics solutions and services, including data science.</li><li>Evolves technology capabilities for the D&A platform, in collaboration with the Chief Information Officer (CIO), to align D&A initiatives with IT infrastructure and policies and drive technology innovation across the organization.</li><li>Establishes and maintains trust in AI-ready data assets by instituting governance mechanisms for data including fostering data stewardship across business data domains. Includes other leaders that share responsibility for data, such as security, privacy, risk, and compliance leaders.</li><li>Understands regulatory requirements, relevant data protection laws and regulations, such as GDPR, EU AI Act, and CCPA, and industry-specific standards. Ensures the organization's data practices are compliant, in collaboration with legal and compliance.</li><li>Oversees the ethical and responsible use of data and algorithms used for artificial intelligence, analytics, and automated decision making. Establishes guidelines and practices that prevent misuse of data and protect individual privacy beyond regulatory and compliance requirements.</li><li>Owns the development of a data-driven culture and related competencies, behaviors, and data and AI literacy across the enterprise. Leads transformation efforts by developing D&A talent and maturing the D&A capability of the organization.</li><li>Leads data-driven innovation for the enterprise, including investigation, adoption, and exploitation of artificial intelligence. Identifying new kinds, types, and sources of data to enable business value innovation throughout the organization and enable new use cases. Monitors for emerging skills and technologies, focusing on accelerating business innovation and transformation.</li><li>Provides AI-ready data, supporting graph analysis, prompt engineering, machine learning, and natural language processing.</li><li>Leads research, strategy creation, and development of new AI and data and analytics products or services to support marketing activities and impact enterprise profitability.</li><li>Drives and oversees major business changes to deliver enterprise value by managing major data-driven change initiatives, including the support of AI.</li><li>Oversees the development, publishing, and maintenance of the organization’s data and analytics architecture and platforms, as well as a roadmap for its future development, ensuring that it matches and supports business and AI needs.</li><li>Defines job roles, recruits candidates, and then manages (directly or indirectly) a team of data and analytics leaders and senior information management professionals.</li><li>Manages to their budget.</li></ul>General Responsibilities<ul><li>Performs other duties as assigned.</li></ul>Minimum QualificationsEducation: Master's Degree required. Degree in a relevant field (computer science, business administration; science technology, engineering and mathematics (STEM); data science; information systems; or related field) preferred. Academic qualification or professional training and experience in legal and regulatory areas are also desirable.Experience: 7 to 10 years progressive leadership experience required. 6 or more years of data & analytics, AI, and progressive leadership experience in leading cross-functional teams, multidisciplinary environments, and enterprise-wide data and analytics programs, operating and influencing effectively across the organization and within complex contexts experience required. Experience in integrating complex, cross-corporate processes and information strategies and/or designing strategic metrics and scorecards is also required. Previous healthcare experience preferred.Strategy and management consulting experience desirable.License(s)/Certification(s)/Registration(s): None.Knowledge, Skills and Abilities <ul><li>Possesses strong knowledge in healthcare technology in hospital & specialty provider space preferred.</li><li>Acumen for strategic business and technology planning and execution, including policy development and maintenance and contributes to the AI strategy.</li><li>Ability to describe business use cases/outcomes, data sources and management concepts, and analytical approaches/options.</li><li>Ability to translate among the languages used by executive, business, IT, and key stakeholders.</li><li>Understands data structures [structured, semistructured, and unstructured] data integration (ETL), metadata, and AI concepts and how to apply them in a complex environment.</li><li>Strong background in data & analytics with Hospital / Healthcare provider environments preferred. </li><li>Knows the differences between data fabric, data mesh, data warehouse, data lake, or data hub.</li><li>Identifies and manages the most important business information assets across the organization.</li><li>Brings an Entrepreneurial / Intrapreneurial attitude. </li><li>Background in identifying, selecting, and implementing emerging and new technologies. Healthcare information technology preferred.</li><li>Understands Software, diagnostic, descriptive, predictive, and prescriptive analytics approaches, along with data engineering practices, concepts, and theories. </li><li>Leads data governance and data literacy programs.</li><li>Demonstrated knowledge of information systems/tools, related software and data management, enterprise content management, and record-keeping policies and practices in a complex organizational environment.</li><li>Organizes and leads a data and analytics center of excellence (D&A hub) and constantly improves the organization’s capacity to develop insights with advanced analytics and AI.</li><li>Understands business concepts, practices, and business domain language to engage in problem-solving sessions and discuss business issues in stakeholder language.</li><li>Exhibits strong interpersonal skills, demonstrating the ability to navigate the political landscape of the organization. </li><li>Demonstrates executive presence and broad thinking and is articulate across all levels of the enterprise. </li><li>Experience in recognizing the impact of technical / digital approaches can have on strategic business decisions. </li><li>Demonstrated understanding of business constraints and an ability to independently develop and convey highly complex strategic concepts in a concise and consumable manner for various audiences. </li><li>Capacity to deliver on deadlines while contributing to various stakeholders, projects, and business relationships at once. </li><li>Ability to work independently or as part of a team and thrive in ambiguity, remain cool-headed with curve balls, and withstand the tests of a dynamic environment with resilience and resolve. </li><li>Exceptional emotional intelligence to help manage complex relationships partners, stakeholders, design, engineering, and leadership. </li><li>Conversant in user experience research and design activities. </li><li>Excellent verbal & written communications skills.</li></ul>#CB<h2>Current OU Health Employees - Please click <a href="https://wd5.myworkday.com/oumedicine/login.htmld" rel="nofollow noopener noreferrer" target="_blank">HERE</a> to login.</h2><h2>OU Health is an equal opportunity employer. We offer a comprehensive benefits package, including PTO, 401(k), medical and dental plans, and many more. We know that a total benefits and compensation package, designed to meet your specific needs both inside and outside of the work environment, create peace of mind for you and your family.</h2>

OU Medicine, Inc.

Vice President - VP Analytics and Artificial Intelligence (AI) Data

Algorithms

Alliance/Partner Management

Analysis Skills

Artificial Intelligence (AI)

Budget Management

Business Administration

Business Case

Business Plan

Business Practices

Business Skills

Business Support

Centralized Operations/Management

Communication Skills

Compensation and Benefits

Computer Science

Content Management

Cost Effectiveness Analysis

Cross-Functional

Data Analysis

Data Lake

Data Management

Data Modeling

Data Science

Data Structures

Data Warehousing

Database Extract Transform and Load (ETL)

Diagnostics Solutions/Software

Ecosystems

Emerging Technology

Health Information Technology

Healthcare

Healthcare Providers

Hospital

Industry Standards

Information Assets

Information Technology & Information Systems

Information/Data Security (InfoSec)

Leadership

Legal

Literacy

Machine Learning

Management Consulting

Marketing

Mathematics

Metadata

Metrics

Natural Language Processing (NLP)

Options Analysis

Organizational Development/Management

Policy Development

Predictive Modeling

Presentation/Verbal Skills

Privacy Controls

Problem Solving Skills

Process Improvement

Profit & Loss

Record Keeping

Regulations

Regulatory Compliance

Regulatory Requirements

Risk

Scorecarding

Stewardship

Strategic Analysis

Strategic Planning

Talent Management

Team Lead/Manager

Team Player

Technical Strategy

Technical/Engineering Design

Testing

Time Management

Traceability

Unstructured Data

Usability Engineering

Use Cases

User Experience Design (UXD)

Writing Skills

OTHER

You'll partner closely with Product Managers, Learning Scientists, and Engineers to connect insights to action-defining the metrics that matter, instrumenting data pipelines, and translating findings into design and product decisions. Partner with Product Managers and Learning Scientists to design and analyze experiments (A/B, multivariate, feature pilots) that measure the impact of new formats, UX improvements, or product features.

Job Description Senior Product Analyst Team: Product & Applied Learning Location: Remote (U.S.) About Chegg Skills helps working adults build the skills they need to access better jobs-faster and more affordably. Our Product & Applied Learning team owns the student-facing learning environment-from content and features to user experience and learning models. We're obsessed with delivering a seamless, data-informed learning journey that keeps students progressing with confidence. The Role We're hiring a Senior Product Analyst to help us understand and improve how learners experience our products. You'll analyze how content, features, and user flows perform in practice-identifying where friction exists, where engagement thrives, and how we can create a more effective and intuitive learning experience. You'll partner closely with Product Managers, Learning Scientists, and Engineers to connect insights to action-defining the metrics that matter, instrumenting data pipelines, and translating findings into design and product decisions. Your work will shape how the Product & Applied Learning team builds, measures, and iterates our student experience. This role is ideal for a self-directed, systems-minded analyst who thrives on uncovering insights that make complex experiences simple and effective for learners. What You'll Do<ul><li>Partner with Learning Science and Instructional Design to conceptually map how learning model standards-difficulty curves, skill levels, instructional flow-translate into learner outcomes. </li></ul><ul><li>Create metrics for learning quality, persistence, and proficiency-moving beyond clicks and usage to identify the metrics that are true predictors of completion and satisfaction. </li></ul><ul><li>Develop and maintain dashboards that visualize learner progress, satisfaction, and experience quality, creating a single source of truth for program health. </li></ul><ul><li>Partner with Product Managers and Learning Scientists to design and analyze experiments (A/B, multivariate, feature pilots) that measure the impact of new formats, UX improvements, or product features. </li></ul><ul><li>Collaborate with Learning Science to link quantitative data with qualitative insights, grounding product design in evidence. </li></ul><ul><li>Communicate insights clearly and visually-craft data stories and presentations that turn analysis into actionable narratives influencing decisions and roadmap priorities. </li></ul><ul><li>Continuously improve analytics systems-automate processes, refine models, and ensure accuracy and accessibility across teams. Integrate AI as an internal enabler wherever it makes sense. </li></ul><ul><li>Drive a culture of user-centric, evidence-based decision-making so every product choice is grounded in data and aligned to learner needs. </li></ul><ul><li>Think creatively about how we can leverage data analytics solutions to solve business problems in ways we might not have considered. </li></ul> What You Bring Basic Qualifications<ul><li>3-6 years of experience in product or business analytics, ideally within a B2C, SaaS, or education context. </li></ul><ul><li>Advanced SQL skills and fluency in Python or R for data analysis, modeling, and visualization, and comfortable with integrating AI into methods to support data-driven recommendations & drawing insights. </li></ul><ul><li>Strong analytical toolkit-comfortable with A/B testing, funnel analysis, time series, and behavioral modeling. </li></ul><ul><li>Proven ability to translate data into actionable product insights. </li></ul><ul><li>Experience building dashboards in Tableau, Looker, or a similar visualization tool. </li></ul><ul><li>Strong communication skills-able to synthesize complex findings into clear, actionable recommendations. </li></ul><ul><li>Collaborative and proactive; comfortable working with Product, Engineering, and Learning teams. </li></ul><ul><li>User-centric mindset-curious about how design and data together shape learner outcomes. </li></ul> Preferred Qualifications<ul><li>Experience analyzing engagement or learning data within an edtech, learning, or content platform. </li></ul><ul><li>Familiarity with UX research methods or human-centered design. </li></ul><ul><li>Knowledge of statistical experimentation, hypothesis testing, and causal inference. </li></ul><ul><li>Comfort with working in agile product environments. </li></ul><ul><li>Passion for learning analytics, learning science, or experience optimization. </li></ul> Target Base Salary: 150,000 Pay Transparency Range: 120,000 to 180,000 The base salary pay range fo

Chegg, Inc.

Business Intelligence Analyst 1

A/B Testing

Business Analysis

Business Intelligence

Continuous Improvement

Data Visualization

Experiment Design

Instructional Design

Looker

Process Modeling

Product Design

Product Engineering

Python Programming/Scripting Language

Quality Metrics

R Programming Language

Reporting Dashboards

SQL (Structured Query Language)

Software as a Service (SaaS)

Systems Analysis

Tableau

User Interface/Experience (UI/UX)

eCommerce

Broadbean

Coordinate efforts between 645th, Tanker Legacy Group Technical Order Management Agent (TOMA) to supply source data, tech order changes, flight manual updates, TCTO requests, financial/management support for accuracy and correctness of data. Provide direct Subject Matter Expertise (SME), Liaison support between 645th AESS, Greenville Tx, Offutt AFB, NE and C/KC-135 SPO, Tinker AFB for BIG SAFARI (BS) RC-135 aircraft fleet.

Job Title: ISR Analyst III / BIG SAFARI Program LiaisonLocation: Tinker AFB, OKMinimum Clearance Required: TOP SECRET/SCI security clearance Travel: CONUS/OCNUS travel may be required throughout the year This position requires the ability to obtain and maintain a Top Secret/SCI U.S. Government Security Clearance. U.S. Citizenship status is required, as this position necessitates an active U.S. Government Security Clearance for employment. Non-U.S. citizens are not eligible to obtain a U.S. security clearance. The Department of Defense Consolidated Adjudications Facility (DoD CAF), a federal government agency, handles the adjudicative aspects of the security clearance process for industry applicants. Adjudicative factors which affect the outcome of the eligibility determination include, but are not limited to, allegiance to the U.S., foreign influence, foreign preference, criminal conduct, security violations, and illegal drug use. BIG SAFARI Liaison located within the Legacy Tanker Program Office at Tinker AFB OK provides direct Subject Matter Expertise (SME), support to the RC-135 Fleet. Prime objective of this position is to minimize and/or eliminate duplication in support between the C/KC-135 aircraft managed by the KC PO (Tinker AFB) and BIG SAFARI (645th AESG, WPAFB). Harmonizes C/KC-135 issues and programs, leveraging airframe commonalities to minimize BIG SAFARI costs. Who You Are and What You Need:<ul><li style="text-align:justify;line-height:normal">Bachelor's Degree or corresponding experience is required.</li><li>Minimum of 15 years of ISR mission aircraft experience including review, analysis and management of complex ISR mission-area issues surrounding processes, systems and logistics.</li><li>Minimum of 10 years of experience in problem solving, decision making, financial management, contract execution/management and USAF aircraft maintenance and logistics.</li><li>Minimum of 5 years of supervisory or management experience.</li><li>Familiarity with current Federal Aviation Administration regulations to active-duty ISR organizations. </li><li>Experience with BIG SAFARI Special Projects, Aeronautical Systems Center/Air Force Life Cycle Logistics Center and associated intelligence organizations and systems.</li><li>Possess administrator experience with a proven record of leadership in problem solving, effective communication and decision making.</li><li style="line-height:normal">Current in Air Force maintenance and logistic support concepts.</li><li>Possess knowledge of DOD programs and procedures for production, maintenance, and currency of Flight, Technical, and Maintenance Manuals with supporting materials.</li><li>Aptly proficient in presentation, written and verbal communication skills.</li><li style="line-height:normal">Proficient in the use of Microsoft Office operating systems and office products.</li></ul> What You Will Do:<ul><li style="text-align:left">Participate in C/KC-135 Aircraft Integrity Working Groups for the review, evaluation, and recommended action of Boeing Service Bulletins and FAA Airworthiness Directives.</li><li style="text-align:left">Reviews KC, RC, TC, and WC historical maintenance records and contractor provided failure analysis reports and provides inputs to PMO for recommendations to improve reliability and maintainability.</li><li style="text-align:left">Coordinate with Propulsion Management and various offices/shops on F108-100/201 engine issues</li><li style="text-align:left">Manage Engineering Assignments (EA) under C/KC-135 Fleet Support Contract.</li><li style="text-align:left">Support and answer UK requests for technical information (RTI) assigned by 645th AESG WPAFB.</li><li style="text-align:left">Coordinate efforts between 645th, Tanker Legacy Group Technical Order Management Agent (TOMA) to supply source data, tech order changes, flight manual updates, TCTO requests, financial/management support for accuracy and correctness of data.</li><li style="text-align:left">Focal Point for D200 program inputs, providing current/accurate Periodic Depot Maintenance (PDM) schedules, driving requirements of Air Force managed items in support of PDM.</li><li style="text-align:left">Provide direct Subject Matter Expertise (SME), Liaison support between 645th AESS, Greenville Tx, Offutt AFB, NE and C/KC-135 SPO, Tinker AFB for BIG SAFARI (BS) RC-135 aircraft fleet.</li><li style="text-align:left">Coordinate with the Tinker AFB Foreign Discloser Office (FDO) and United Kingdom (UK) with request for Tech orders, TCTO's, and technical documents.</li><li style="text-align:left">BIG SAFARI focal for Aerospace Maintenance and Regeneration Group (AMARG) to assist with the storage induction and disposal of aircraft/assets into AMARG.</li><li style="text-align:left">Focal point for PDM work spec issues by reviewing and submitting changes that would affect tech orders, work spec items and inspection work cards which would affect the outcome of the PDM.</li><li style="text-align:left">Participate in C/KC-135 work group meetings, telecoms, PMR, PIWG's and provide on-site representation for C/KC and Boeing program reviews.</li><li style="text-align:left">Use various data systems (A Team, Fed Log, GBSO, BLADE, JRAMS, ETIMS, LCMP) for support of maintenance trends and failures to ensure compliance with Air Force requirements.</li><li style="text-align:left">Support daily issues from BIG SAFARI Depot and users in the field.</li></ul> What We Offer:<ul><li>Comprehensive benefits including health, dental and vision for the employee and family</li><li>401k Plan with a company contribution; fully vested immediately</li><li>Company paid Life and AD&D insurance</li><li>Company paid Short-Term and Long-Term Disability insurance</li><li>Flexible Spending Accounts</li><li>Paid Time Off (PTO)</li><li>10 paid holidays</li><li>Employee Assistance Program</li><li>Tuition Reimbursement</li></ul> Who We Are:Calvert Systems is a Service-Disabled Veteran-Owned Small Business headquartered in Bellevue, Nebraska, with operations in twelve states including the District of Columbia. With over 20 years of trusted support to the Department of Defense, Calvert combines the strength of deep mission expertise, a workforce composed largely of veterans with the values of a family business culture. Our team is committed to exceeding customer expectations by leveraging a rich blend of operational experience, technical excellence, and a strong commitment to service.Calvert Systems Engineering provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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Vice President - VP Analytics and Artificial Intelligence (AI) Data OU Medicine, Inc.

Business Intelligence Analyst 1 Chegg, Inc.

ISR Analyst III / BIG SAFARI Program Liaison Calvert Systems Engineering Inc

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