ZipRecruiter

Log In

1

Technology Operations Enterprise Data Strategy Jobs in Washington

Technogen

Data Architect

Bethesda, MD

$68.25 - $87.75/hr

... Operational Data Master/Reference Data strategy/platforms Analytical Data Enterprise Data ... management technologies Requirements: 1. Deep understanding of Distributed Architectures is ...

Technogen

Data Architect

Bethesda, MD · On-site

$68.25 - $87.75/hr

... Operational Data • Master/Reference Data strategy/platforms • Analytical Data Enterprise Data ... management technologies Requirements: 1. Deep understanding of Distributed Architectures is ...

Trans Union LLC

Data Analysis Manager

Reston, VA · On-site

... Technology stakeholders to maximize the value of enterprise data assets and support TransUnion ... This role reports to Vie President of Strategic Planning. This is a hybrid position and involves ...

Transunion

Data Analysis Manager

Reston, VA

... Technology stakeholders to maximize the value of enterprise data assets and support TransUnion ... This role reports to Vie President of Strategic Planning. This is a hybrid position and involves ...

TransUnion

Data Analysis Manager

Reston, VA

... Technology stakeholders to maximize the value of enterprise data assets and support TransUnion ... This role reports to Vie President of Strategic Planning. This is a hybrid position and involves ...

SAIC

Enterprise Data Architect

Chantilly, VA · On-site

$160K - $200K/yr

... strategic decision-making and align with mission objectives. Job Responsibilities to include ... We integrate emerging technology, rapidly and securely, into mission critical operations that ...

previous pagenext page

Showing results 21-40

All JobsTechnology Operations Enterprise Data Strategy JobsTechnology Operations Enterprise Data Strategy Jobs in Washington

Technology Operations Enterprise Data Strategy information

What are the key skills and qualifications needed to thrive in Technology Operations Enterprise Data Strategy, and why are they important?

To excel in Technology Operations Enterprise Data Strategy, you need strong expertise in data management, analytics, and strategic planning, often backed by a degree in computer science, information systems, or a related field. Familiarity with data warehousing solutions, ETL tools, data governance frameworks, and certifications like CDMP or AWS Certified Data Analytics is highly valuable. Exceptional problem-solving, stakeholder management, and communication skills help drive cross-functional initiatives and align data strategies with business goals. These competencies ensure effective data-driven decision making, operational efficiency, and long-term organizational success.

How does a Technology Operations Enterprise Data Strategy professional typically collaborate with other departments within an organization?

Professionals in Technology Operations Enterprise Data Strategy work closely with multiple departments, such as IT, business analytics, compliance, and executive leadership. They often facilitate communication between technical teams and business stakeholders to ensure that data initiatives align with organizational goals. This role involves coordinating data governance policies, integrating new technologies, and supporting data-driven decision-making across the enterprise. Successful collaboration requires strong communication skills and a deep understanding of both technical and business perspectives.

What is Technology Operations Enterprise Data Strategy?

Technology Operations Enterprise Data Strategy refers to the planning, management, and implementation of data-related processes and technologies across an organization to support its operational goals. This role involves setting standards for data governance, ensuring data quality, and aligning data initiatives with business objectives. Professionals in this field work to optimize data flow, storage, and security, enabling better decision-making and efficiency. They often collaborate with IT, business units, and data analytics teams to ensure data assets are leveraged effectively across the enterprise.

What is the difference between Technology Operations Enterprise Data Strategy vs Data Analyst?

AspectTechnology Operations Enterprise Data StrategyData Analyst
CredentialsTypically requires a degree in IT, Data Science, or related fields; certifications like CDMP or CBIP are commonRequires a degree in Statistics, Data Science, or related fields; certifications like Microsoft Data Analyst Associate or Tableau Desktop Specialist are common
Work EnvironmentFocuses on strategic planning, data governance, and infrastructure within enterprise IT teamsFocuses on data collection, analysis, and reporting to support business decisions
Employer & Industry UsageUsed in large organizations managing enterprise data assets and IT operationsUsed across industries for data reporting, visualization, and insights

While Technology Operations Enterprise Data Strategy professionals focus on aligning data initiatives with business goals and managing data infrastructure, Data Analysts primarily analyze data to generate actionable insights. Both roles require strong analytical skills but differ in scope and strategic involvement.

What cities in Washington are hiring for Technology Operations Enterprise Data Strategy jobs? Cities in Washington with the most Technology Operations Enterprise Data Strategy job openings:
Technology Operations Enterprise Data Strategy jobs near you

Senior Manager, Data Lakehouse

The University of Maryland Global Campus

Adelphi, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago

Job description

Senior Manager, Data Lakehouse
Data Strategy
US Exempt Regular
Full time
Stateside Exempt 4.3
Senior Manager, Data Lakehouse
Data Strategy
Full-time, Exempt Regular, Pay Grade 4.3
Location: Hybrid (Occasional presence in Adelphi, MD as needed)
The Senior Manager, Data Lakehouse is a senior technical and people leader responsible for executing and operating UMGC's enterprise data strategy through the design, implementation, and ongoing management of the Data Lakehouse and analytics platform. This role leads the day to day operation of the Databricks Lakehouse platform, ensuring data is secure, reliable, and optimized to support analytics and AI/ML enabled decision making. The position balances hands on technical leadership, team management, and platform operations while collaborating with cross functional stakeholders to support approved enterprise initiatives.
Duties and Responsibilities:
  • Execute and operate approved Data Lakehouse initiatives aligned with UMGC's enterprise data and analytics strategy, ensuring the Databricks platform is reliable, secure, and scalable to meet business needs.
  • Provide technical and people leadership to a team of data engineers and architects, supporting performance management, coaching, skills development, and continuous improvement in alignment with established goals.
  • Oversee data architecture and engineering activities, including ELT/ETL and CI/CD pipelines and data integration across Bronze, Silver, and Gold layers to support analytics, reporting, operational, and AI use cases.
  • Monitor and maintain day to day platform operations, including performance, availability, and issue resolution, ensuring service levels and operational expectations are met.
  • Implement and maintain data governance, security, quality, and compliance controls in partnership with information security, legal, and compliance teams, ensuring adherence to regulatory and institutional requirements.
  • Collaborate with data scientists, analysts, IT, and business stakeholders to deliver approved analytics, AI, and self-service capabilities within established architectural, security, and governance standards.
  • Contributes to the evaluation and adoption of new tools, technologies, and platform enhancements, providing technical recommendations to improve performance, scalability, usability, and cost efficiency.
  • Manage delivery commitments and operational priorities, supporting resource planning, vendor coordination, and cost optimization under approved operating plans and AVP Enterprise Data oversight.

Competencies:
Strategic leadership, collaboration, accountability, communication excellence, innovation mindset, change leadership
Skills:
Databricks Lakehouse, enterprise data platforms, cloud analytics, data governance, Agile/DevOps, stakeholder management, offshore team management experience.
Education & Experience Requirements:
Education:
Bachelor's degree in Information Science and Technology, Library and Information Science, Computer Science, Business Analytics, or a related field.
Experience:
  • 7-9 years of experience supporting or delivering enterprise data and analytics platforms
  • 3+ years of experience leading data engineering or analytics teams

Preferred Experience Requirements
  • Higher education data environments; AI/BI integration

Certifications:
  • Databricks 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 16 paid holidays (17 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:
$160,000.00 - $175,000.00

Apply