Director, AIBI Products

Data StrategyUS Exempt RegularFull timeStateside Exempt 4.4Location: Adelphi, MD (Hybrid)

The selected candidate for this position will report on-site 2-3 days a week.

We are seeking a visionary and execution-focused Director - AI/BI Applications to lead the strategy, development, and delivery of advanced analytics, AI-driven insights, and business intelligence applications within a Databricks environment.

This role requires a unique ability to deeply engage with business stakeholders to understand their goals, processes, and challenges, while guiding them on what is possible through modern AI/BI technologies. The Director will then translate those insights into actionable plans, working closely with technical teams to design and deliver secure, accessible, and future-ready analytics solutions that drive meaningful business outcomes.

This position is ideal for a leader who thrives at the intersection of business and technology — and who is passionate about building scalable, compliant, and user-centered data products in federated, regulated, and fast-evolving environments.

Duties and Responsibilities:

Business Engagement & Strategic Alignment

• Serve as a strategic partner to business leaders, translating complex business requirements into actionable AI/BI products that deliver measurable value.

• Guide stakeholders on the art of the possible with data, analytics, and AI technologies — helping shape realistic, impactful use cases.

• Align analytics and AI investments with organizational objectives, ensuring solutions deliver value today and are extensible for the future.

• Act as a trusted advisor, building and leading a community of practice with workshops, road mapping sessions, and technology reviews to foster alignment and collaboration.

AI and BI Product Leadership

• Lead the end-to-end development, delivery, operation, and continuous improvement of AI/BI products — from idea through deployment — ensuring they reflect business needs and technical best practices and align with the overall enterprise data and analytics strategy and execution roadmap.

• Oversee the design of user-centered, accessible, and secure analytics experiences through collaboration with UI/UX designers and data engineers.

• Guide the development of AI/ML models, dashboards, reporting tools, and self-service solutions that improve decision-making and operational performance metrics.

Cross-Functional Execution

• Collaborate with cross-functional teams in a SAFe Agile environment, ensuring technical teams deliver high-quality, compliant solutions iteratively and efficiently.

• Promote a DevOps and AIOps/MLOps culture, incorporating CI/CD, testing, observability, and feedback loops into delivery workflows.

• Collaborate with data and analytics governance, data integration & interoperability, data Lakehouse, data science teams, and security teams to ensure delivery and continuous improvement of a robust, secure, and scalable data and analytics infrastructure and processes.

Platform, Privacy, and Compliance

• Implement fine-grained access control and support data privacy compliance with U.S., EU, and APAC regulations, including: FERPA, HIPAA, CCPA, GDPR, PIPL, APPI, PCI DSS, etc.

• Operate within a Databricks Lakehouse architecture to deliver governed, federated, and integrated data capabilities.

• Ensure all applications meet or exceed accessibility standards including WCAG 2.1, ADA, Section 508, and EN 301 549.

• Collaborate with UX teams on UAT processes to validate accessibility through testing, documentation, and remediation.

Skills:

Business and Strategic Skills

• Exceptional ability to engage and gain buy-in from stakeholders, understand complex business needs, and guide them on what's possible with AI and BI technologies.

• Proven experience aligning technical delivery to business outcomes and communicating progress across executive and operational levels.

• Strategic thinking with a strong grasp of organizational change management and digital transformation principles.

Technical Skills

• Deep expertise and hand-on expertise in Databricks AI/BI, Apache Spark, Delta Lake, SQL, and Python.

• Strong understanding of dimensional modeling, semantic layer development, and data architecture.

• Hands-on experience with BI tools (e.g., Tableau, Power BI) and AI/ML frameworks (MLflow, scikit-learn, TensorFlow).

• Proficiency in DevOps/MLOps, CI/CD pipelines, and observability for analytics applications.

• Knowledge of privacy, security, and compliance standards, including FERPA, GDPR, PIPL, CCPA, PCI DSS.

Agile and Organizational Skills

• Experience leading teams within SAFe Agile or scaled agile environments, including Agile Release Trains and PI planning.

• Strong leadership in cross-functional teams, including engineers, UX/UI designers, product managers, and governance professionals.

UX and Accessibility

• Deep familiarity with inclusive design, data storytelling, and accessibility regulations and remediation processes.

Education & Experience Requirements:

Education:

• Bachelor's Degree in Information Science and Technology, Library and Information Science, Computer Science, Engineering or a related field.

Experience:

• 7+ years of progressive experience in data analytics, data products leadership, or enterprise data product development.

• Demonstrated experience leading development and delivery of AI/BI apps, ideally in a Databricks environment.

• 3-5+ years in a director-level or similar leadership role managing cross-functional, cross-functional delivery of analytics applications (i.e., AI/BI, BI, ML, AI)

• Proven ability to deliver AI/BI applications that reflect business requirements and future-proof organizational capabilities.

• Experience in higher education, online learning, edtech, or digital platforms is highly desirable.

• Strong record of delivering solutions in federated, regulated, and cloud-native environments.

Preferred Experience Requirements:

Education:

• Master's Degree in Information Science and Technology, Library and Information Science, Computer Science, Engineering or a related field.

Certifications:

• Databricks, SAFe Agile, cloud platforms, privacy/security (e.g., CIPP/US, CIPP/E), or accessibility (e.g., CPACC) are strongly preferred.

All submissions should include a cover letter and resume.

The University of Maryland Global Campus (UMGC) is an equal opportunity employer and complies with all applicable federal and state laws regarding nondiscrimination. UMGC is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, ancestry, political affiliation or veteran status in employment, educational programs and activities, and admissions.

Workplace Accommodations:

The University of Maryland Global Campus Global Campus (UMGC) is committed to creating and maintaining a welcoming and inclusive working environment for people of all abilities. UMGC is dedicated to the principle that no qualified individual with a disability shall, based on disability, be excluded from participation in or be denied the benefits of the services, programs, or activities of the University, or be subjected to discrimination. For information about UMGC's Reasonable Workplace Accommodation Policy or to request an accommodation, applicants/candidates can contact Employee Accommodations via email at employee-accommodations@umgc.edu. 

Benefits Package Highlights:

• Generous Time Off: Enjoy 22 days of paid vacation, 15 days of sick leave, 3 personal days, and 15 paid holidays (16 during general election years). For part-time employees, time off rates will be prorated based on the number of hours worked.
• Comprehensive Health Coverage: Access to health care, medical with vision, dental, and prescription plans for both individuals and families, effective from the 1st of the month following your hire date.
• Insurance Options: Term Life Insurance, Accidental Death and Dismemberment Insurance, and Long-Term Disability (LTD) Insurance. Part-time employees working less than 0.5 FTE are not eligible for LTD.
• Flexible Spending Accounts: Available for medical and dependent care expenses.
• Retirement Plans: Choose between the Optional Retirement Program (ORP) or the Maryland State Retirement and Pension System (MSRPS).
• Supplemental Retirement Plans: include 401(k), 403(b), 457(b), and various Roth options. The university does not provide matching funds.
• Tuition Remission: Immediate availability for Regular Exempt Staff. Spouses and dependent children are eligible for undergraduate tuition remission after two years of service. NOTE: For part-time employees (at least 50 percent of the time), tuition remission benefits are prorated.

Hiring Range:

$174,000.00 - $199,000.00