四虎影视

Position Title: Manager, Enterprise Data Services, Data Analytics Enablement Manager

Position number: JR103693

Job Description Summary:

This position is available within the University of
Maryland鈥檚 Division of Information Technology (DIT).

The University of Maryland (UMD) seeks a Manager of Data Analytics Enablement to
lead the adoption and modernization of enterprise analytics capabilities that enable trusted, data-informed decision-making across
campus.

This is an exciting time to join UMD as we advance enterprise data and analytics through a period of innovative growth and
modernization. This role will play a key part in shaping the future of enterprise business intelligence, advancing Microsoft Power BI and
Fabric capabilities, and embedding sustainable data quality and stewardship practices into analytics workflows.

Reporting to the
Director of Enterprise Data Services, this position partners with institutional leaders, IT teams, and enterprise stakeholders to deliver
reliable data products, consistent metrics, and actionable insights. The manager will lead a team of data professionals and advance
practical, operational governance practices that support trusted analytics and long-term institutional impact.

Key
Responsibilities:

Key
Responsibilities:

• Lead the strategy, development, and continuous improvement of the university鈥檚 enterprise business intelligence
  environment, including Microsoft Power BI and Microsoft Fabric.
• Establish standards, best practices, and architectural patterns for
  semantic models, dashboards, and analytics delivery.
• Guide migration and modernization efforts to ensure scalable, secure, and
  high-performing analytics solutions.
• Develop and manage an analytics intake, prioritization, and delivery framework aligned with
  institutional priorities.
• Define and implement data quality monitoring practices to ensure reliability, accuracy, and consistency of
  enterprise data assets.
• Partner with technical teams to embed validation, monitoring, and observability into data pipelines and
  lakehouse environments.
• Promote consistent metric definitions and collaborate with campus stakeholders to clarify data ownership and
  stewardship roles.
• Support adoption of metadata management, data catalog, and lineage capabilities.
• Ensure analytics solutions
  align with university standards for security, privacy, and responsible data use.
• Manage, mentor, and develop a team of analytics and
  data professionals, fostering a culture of quality, collaboration, and service.
• Communicate analytics priorities, progress, and impact
  to leadership and campus partners.

**This position is considered essential and may be required to work at the normal work location or
an alternative location during a major catastrophic event, weather emergency, or other operational emergency to help maintain the continuity
of University services.**

**May be required to work evenings, nights, weekends, or different shifts for extended periods.**

KNOWLEDGE, SKILLS, & ABILITIES:

• Knowledge of data privacy and security principles and practices necessary to protect
  systems and data from threats.
• Knowledge in areas of subject matter expertise such as databases, data modeling, ETL, reporting, data
  governance practices, metadata management, data stewardship, and/or regulatory compliance.
• Skill in SQL or programming/scripting
  languages (e.g.; Python) used for integrations, data pipelines, report development, and data management.
• Skill in adapting
  communication style to different audiences, including technical, business, and executive stakeholders.
• Skill in the use of office
  productivity software such as Office 365 or Google Workspaces.
• Ability to lead presentations and training for large groups.
• Ability to manage communications and relationships with technical and business stakeholders.
• Ability to collaborate effectively
  with other Managers, Assistant Directors, and Directors to identify and solve problems, make improvements, and address ongoing issues.
• Ability to provide a team with effective direction and support in implementations using standards and techniques that lead to a
  repeatable and reliable solution.
• Ability to ensure documentation standards and procedures are implemented for all team
  responsibilities.
• Ability to define deadlines and manage the quality of the work delivered.
• Ability to comprehend and handle
  interpersonal dynamics, demonstrate empathy towards team members, and effectively manage conflicts or challenging circumstances.
• Ability to coach and mentor team members in order to enhance their performance, provide constructive feedback, and support skill
  development.

Physical Demands: Sedentary work. Exerting up to 10 pounds of force occasionally and/or negligible amount of
force frequently or constantly to lift, carry, push, pull or otherwise move objects. Repetitive motion. Substantial movements (motions) of
the wrists, hands, and/or fingers. The worker is required to have close visual acuity to perform an activity such as: preparing and
analyzing data and figures; transcribing; viewing a computer terminal; extensive reading.

Minimum Qualifications

Education: Bachelor鈥檚 degree from an accredited college or university.

Experience: Three (3) years of professional
experience supporting the operations, maintenance, and administration of data systems, analytics platforms, or data management programs. One
(1) year leading or supervising professional staff.

Other: Additional work experience as defined above may be substituted on a
year for year basis for up to four (4) years of the required education.

Preferences:

• Demonstrated experience
  leading business intelligence or enterprise analytics initiatives.
• Experience managing or mentoring data professionals in a
  collaborative team environment.
• Strong experience with Power BI and modern data platforms such as Microsoft Fabric, Databricks, or
  similar cloud-based analytics ecosystems.
• Proficiency with SQL and/or Python in support of analytics, data modeling, or data
  quality initiatives.
• Experience implementing or advancing data quality practices, including validation, monitoring, or metric
  standardization.
• Experience supporting practical data governance activities such as establishing shared definitions, coordinating
  data stewardship, or implementing metadata/catalog tools.
• Demonstrated ability to collaborate across diverse stakeholders and
  translate business needs into scalable analytics solutions.
• Strong communication skills with the ability to engage both technical
  and non-technical audiences.
• Experience using Jira or similar tools for work intake, project tracking, and prioritization.

Additional Information:

Please note that all positions within the Division of Information Technology (DIT) have an in
person component with expected time in our College Park, MD location per week. Telework is not a guaranteed work arrangement.

Visa
Sponsorship Information:

• DIT will not sponsor the successful candidate for work authorization in the United States now or
  in the future.
• F1 STEM OPT support is not available for this position.

Required Application Materials:
Resume, Cover Letter, List of three References

Best Consideration Date: March 26, 2026

Open Until Filled:
Yes

Salary Range: $149,120.00 - $178,944.00

Job Risks: Not Applicable to This Position

Financial
Disclosure Required: No

For more information on Financial Disclosure, please visit .

Department: DIT-EE-Enterprise Data Services

Worker Sub-Type: Staff Regular

Benefits Summary: For more
information on Regular Exempt benefits, select this .

Background Checks: Offers of employment are
contingent on completion of a background check. Information reported by the background check will not automatically disqualify anyone from
employment. Before any adverse decision, the finalist will have an opportunity to provide information to the University regarding
disclosable background check information. The University reserves the right to rescind the offer of employment or otherwise decline or
terminate employment if the information reported by the background check is deemed incompatible with the position, regardless of when the
background check is completed.

Employment Eligibility: The successful candidate must complete employment eligibility
verification (on Form I-9) by presenting documents that establish identity and work authorization within the timeframe required by federal
immigration law, and where applicable, to demonstrate renewed employment authorization. Failure to complete employment eligibility
verification or reverification within the timeframe set forth by law may result in suspension or termination of employment.

EEO Statement: The University of Maryland, College Park is an Equal Opportunity Employer. All qualified applicants will
receive equal consideration for employment. Please read the University鈥檚 Equal Employment Opportunity Statement of Policy.