IS Manager - Data Services

Responsible for planning, leading, organizing, and motivating the Data Services team to achieve high performance and quality in delivering business value. This hands-on technical manager will engage in the design, implementation, and support of data platforms, including Data Lake, Data Warehouse, and other integrated solutions, ensuring operational stability and scalability. Manages a portfolio of efforts using Scaled Agile in a fast-paced environment, overseeing Data Operations both on-premises and in the cloud to ensure stable, reliable, and innovative data platform services. Leverages AI and machine learning to enhance data-driven decision-making and drive innovation.

Required in-office presence at least 4 days per week (Hanover, MD).

Responsibilities

• Acts as technology owner with direct hands-on accountability for implementation and maintenance of Data Services products, platforms, and solutions, partnering with Product Owners and Business Sponsors while remaining actively involved in technical decision-making and execution.
• Manages deliverables, risks, status, and quality throughout the lifecycle; validates operational readiness for production launches.
• Leads production support, database administration, and data platform maintenance teams, serving as a technical escalation point and participating in complex troubleshooting and root cause analysis.
• Measures progress toward goals and communicates effectively with stakeholders.
• Inspires teams by establishing direction and a clear sense of meaning toward business goals.
• Drives team members to leverage or develop well-defined practices and processes to increase productivity and minimize waste.
• Ensures work is delivered on time, within budget, and adhering to high-quality standards.
• Provides transparency in execution and monitoring within delivery plans; ensures timely escalation of issues.
• Evaluates technical designs through hands-on review and guidance, ensuring alignment with architecture governance policies.
• Assists in implementing best practices from the Portfolio Management Office (PMO), Agile CoE, and SDLC standards; champions process improvement.
• Identifies and assigns tasks for change processing, including impact analysis and implementation status communication.
• Implements process improvements to increase efficiency, effectiveness, and service delivery performance.
• Oversees incident, problem, and change management processes, ensuring timely resolution and root cause analysis.
• Coordinates database and platform upgrades, patching, backups, and recovery procedures with direct technical oversight.
• Provides regular reporting on service metrics, incidents, and platform health.

Supervisory or Management Responsibility

• Manages the Data Services teams, including hiring, leadership, development, and performance accountability.
• Coaches team members in leadership and complex problem-solving; helps formulate development agendas.
• Assists in team development, holds teams accountable for commitments, and removes roadblocks through leadership and direct technical contribution.
• Promotes team empowerment, engagement, and a sustainable pace with high-quality output.
• Communicates effectively with highly technical knowledge workers and challenges team thought processes to drive better solutions.
• Establishes operational and team objectives and goals.

Budget Responsibility

• Contributes to departmental budget development and actively manages budget to plan.
• Shares fiscal responsibility for technology investments and future planning.
• Monitors and reports monthly cloud usage and spend.

Requirements

• Bachelor’s degree in Information Systems, Computer Science, or equivalent.
• Minimum of 10 years of Information Technology experience.
• Experience with Data, Data Management, and/or Data Analytics and modern cloud/on-prem data platforms.
• 3-4 years of recent, hands-on experience with Snowflake, Matillion, Qlik, Informatica, or equivalent modern cloud data warehouse + ETL/ELT tools, including design, build, and production support.
• Experience with Python and scripting for automation, demonstrated through hands-on development.
• Experience working in an offshore/onshore collaborative environment.
• Agile (SAFe) experience.
• Experience with modern data architecture (e.g., data lakes, AWS/GCP/Azure).
• Familiarity with ITSM tools (e.g., ServiceNow) and incident/change management.
• Strong understanding of security, backup/recovery, and data governance practices.
• Solid understanding of MS Office and VersionOne.

Skills and Abilities

• Excellent oral and written communication skills.
• Strong interpersonal skills, including coaching, collaborating, and team building.
• Proven ability to lead software development and operational efforts while remaining technically hands-on.
• Strong analytical and problem-solving skills.
• Solid technical project management and leadership skills, including planning and steering activities.
• Ability to identify and understand complex problems and develop solutions.
• Ability to travel without restrictions (domestic and international).
• Proven ability to operate as a technical escalation point for platform reliability, incident response, and root cause analysis.

Core Competencies

• Build relationships
• Develop people
• Lead change
• Inspire Others
• Think critically
• Communicate clearly
• Create Accountability

Benefits

• Medical, dental, and vision plans
• Hospital plans
• 401(k) Retirement Plan (Pre-tax and Roth post-tax contributions available)
• Life Insurance (Company-paid Basic Life and AD&D; voluntary Life & AD&D for employee and dependents)
• Company-paid short- and long-term disability
• Health & Dependent Care Spending Accounts (HSA & DCFSA)
• Transportation benefits
• Employee Assistance Program
• Tuition Assistance
• Time Off/Leave (PTO, Allegis Group Paid Family Leave, Parental Leave)

Pay

Salary Range: $131,864.00 - $197,796.00. This position is bonus eligible. Individual compensation offered will depend on qualifications, skills, relevant experience, job knowledge, geographic location, and internal equity.