Senior Manager, Data Integrations

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Department Summary:

MITRE Finance is seeking a Senior Manager and Department Head for the Data & Integrations Department within the Enterprise Business Systems and Operations Division (EBSOD)

The Data & Integrations Department manages the Enterprise Data Warehouse (EDW), enterprise data feeds (inbound and outbound), subject area expansion, and modernization initiatives that support evolving gold source systems. The Department is currently finalizing a significant transformation of the legacy on-premises EDW to a modern, cloud-based architecture in AWS enabling scalable, secure, and real-time data access across the enterprise.

The Department Head will provide strategic, operational, and technical leadership to ensure delivery of a resilient, future-ready enterprise data platform aligned to Finance and enterprise priorities.

Roles & Responsibilities:

The Department Head, Data & Integrations, is a senior manager responsible for strategic direction, organizational leadership, and end-to-end ownership of enterprise data platforms and integration services.

The selected candidate will:

• Lead the overall strategy, roadmap, and execution of the Enterprise Data Warehouse and enterprise data integration platforms
• Provide leadership and oversight to Group Leaders and technical teams within the department
• Build, develop, and sustain high-performing engineering and architecture teams
• Oversee multiple concurrent data programs and workstreams, ensuring alignment to enterprise priorities
• Drive modernization of legacy on-prem data platforms to cloud-based architectures
• Ensure operational excellence of mission-critical EDW environments, balancing reliability with innovation
• Serve as a trusted advisor to Finance and enterprise leadership on data architecture and platform strategy
• Partner closely with other department heads to deliver integrated, enterprise-wide solutions
• Lead PI planning, delivery execution, and cross-team dependency management
• Establish governance, security, and data quality standards across the data ecosystem
• Oversee vendor selection, tooling strategy, and architectural decision-making
• Manage budget, staffing, and long-term workforce planning for the department
  
  

Key Functions

The Department Head will have responsibility across the following domains:

Leadership & Program Ownership

• Provide direct leadership to Group Leaders and senior technical staff
• Lead geographically distributed teams and manage multiple workstreams
• Build and scale high-performing engineering and data architecture teams
• Drive strategic planning and multi-year platform roadmap development
• Oversee performance management, career development, and succession planning
• Lead large-scale data programs and cross-functional delivery teams
  
  

Enterprise Data Architecture & Integration

• Define and lead enterprise-scale data integration architecture
• Oversee design of modern data warehousing and lakehouse architectures
• Guide implementation of batch and real-time ingestion pipelines
• Ensure strong dimensional modeling, data marts, and analytical data product development
• Establish scalable, secure, and governed data platforms
  
  

Cloud & Platform Engineering

• Lead AWS-based data platform strategy and implementation (Lake Formation, Redshift, S3, Glue, EMR, Lambda, IAM)
• Guide modernization efforts leveraging cloud-native services
• Oversee DevOps practices, CI/CD pipelines, and containerized workloads
• Ensure implementation of enterprise-grade data governance, security, and privacy controls
• Evaluate and integrate Azure or Databricks capabilities where appropriate
  
  

Operational Excellence & Reliability

• Ensure high availability and reliability of mission-critical EDW operations
• Improve system reliability, data quality, and SLA performance
• Oversee production monitoring, incident management, and root cause analysis processes
• Balance platform stability with innovation and modernization efforts
  
  

Stakeholder & Business Partnership

• Serve as primary executive liaison for enterprise data initiatives
• Partner closely with Finance, Accounting, FP&A, and business leadership
• Translate business requirements into scalable, sustainable technical solutions
• Build and maintain trusted relationships with senior leadership
  
  

Strategic Thinking & Execution

• Define and execute multi-year enterprise data platform strategy
• Lead cloud migration and platform modernization programs
• Make informed architectural, tooling, and vendor decisions
• Drive innovation while ensuring enterprise alignment and compliance
  
  

Basic Qualifications:

• Bachelor’s degree in Engineering, Computer Science, Information Systems, Math, Business, or related discipline
• 12 years of experience in data engineering, data architecture, and enterprise data platforms
• 5 years of experience leading large-scale data programs and cross-functional delivery teams
• Demonstrated experience leading geographically distributed technical teams
• Deep expertise in enterprise data warehousing, data integration, and modern data architectures
• Strong experience with AWS-based data platforms (Lake Formation, Redshift, S3, Glue, EMR, Lambda, IAM)
• Demonstrated success managing mission-critical EDW operations
• Proven ability to improve system reliability, data quality, and operational performance
• Strong executive communication and stakeholder management skills
• Experience defining and executing cloud migration and modernization strategies
• Demonstrated ability to translate business needs into scalable technical solutions
• This position requires a minimum of 60% hybrid on-site
  
  

Preferred Qualifications:

• Master’s degree in a related discipline
• Prior experience leading enterprise data warehouse modernization initiatives
• Experience with Azure and Databricks environments
• Experience with Workday HCM, Deltek Costpoint, OneStream, or equivalent enterprise systems
• Experience implementing enterprise data governance frameworks
• Knowledge of containerized workloads and CI/CD pipelines
• Experience managing vendor relationships and enterprise data platform tooling decisions
• Prior experience leading modernization from on-network/on-prem data warehouse to cloud-based model
• Strong written and oral communication skills
  
  

This requisition requires the candidate to have a minimum of the following clearance(s):

None

This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):

None

Salary compensation range and midpoint:

$196,000 - $245,000 - $294,000 Annual

Work Location Type:

Hybrid

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Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law.

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