IS Manager – Connected

Allegis Group•Hanover, MD

11h•Hybrid

About The Position

As an Information Services (IS) Manager within the Connected Program, this role serves as a senior delivery and platform leader responsible for platform-level data integrity, product quality, and intelligent capability adoption across Connected solutions. This manager operates at the intersection of platform engineering, data, AI, and product delivery, ensuring Connected products are reliable, scalable, measurable, and continuously improving based on real usage and outcomes. The role emphasizes data-driven quality management, AI-enabled optimization, and systemic improvement across Salesforce, data platforms, and integrated enterprise services. The IS Manager leads teams responsible not just for building features, but for ensuring Connected products perform, scale, and deliver sustained business value, using analytics, automation, and AI-enabled insights to inform decisions and prioritize investments.

Requirements

Bachelor’s degree in information systems, Computer Science, Engineering, Data, or a related field
10+ years of progressive experience in Information Technology, software delivery, or platform engineering
3–5 years of people leadership experience managing managers, senior engineers, or platform-oriented teams
Demonstrated experience operating at a platform or product-system level, beyond single-application delivery
Strong background working with enterprise data, including data quality, integrity, observability, and governance concerns
Experience managing product quality, reliability, and operational health for enterprise platforms
Proven ability to use data, analytics, and/or AI-assisted insights to guide prioritization, quality improvements, and execution decisions
Experience delivering solutions within large-scale transformation programs.
Hands-on exposure to Salesforce and/or similar enterprise platforms, including integrations and shared data models
Experience partnering with Product, Architecture, Data, and Security teams to influence direction without sole ownership
Strong experience leading platform-oriented teams rather than purely feature teams
Deep understanding of data quality, system observability, and product health metrics
Proven ability to translate data and AI insights into execution decisions
Experience working with Salesforce platform data models and enterprise integrations
Ability to reason about systemic product quality issues across teams and workflows
Comfort operating in ambiguity and influencing roadmap decisions without formal authority
Demonstrated success using analytics, automation, or AI to improve delivery outcomes
Strong executive communication skills; able to explain complex platform and data topics simply
Bias toward root-cause analysis, reuse, and scalability

Responsibilities

Platform-level data quality, consistency, and usability
Product health, reliability, and adoption signals
Applying AI to improve delivery efficiency, product outcomes, and user experience
Ensuring Connected products scale responsibly across operating companies
Lead teams responsible for platform-level delivery, with a strong focus on data quality, system reliability, and product health
Own Connected product quality metrics, including stability, performance, adoption, and downstream business impact
Partner with Product, Architecture, and Data teams to define quality standards and data contracts at the platform level
Establish and maintain data pipelines and telemetry that surface product usage, behavior, and outcomes
Leverage AI and advanced analytics to detect quality issues earlier, identify usage patterns and adoption barriers, and inform prioritization and roadmap decisions
Ensure Salesforce and integrated platforms are designed with scalability, observability, and automation in mind
Drive consistent implementation of best practices related to data modeling, integrations, testing, and release quality
Use insights from data and AI to recommend product improvements, deprecations, or investment shifts
Partner with Connected Program leadership to ensure delivery aligns to enterprise priorities and measurable outcomes
Champion continuous improvement by reducing manual effort, rework, and defects through automation and intelligence
Act as Coach-Leader, coaching others in their development as leaders, catalyzing the growth of people’s capacity to embrace greater complexity, and responsible for platform delivery, data, and quality outcomes
Coach teams to think beyond feature completion toward system health, user impact, and scale readiness
Establish clear ownership for platform data domains and quality accountability
Embed AI-first thinking into how teams plan, deliver, and operate products
Drive a culture of evidence-based decision making, using data instead of anecdote
Partner closely with Product, Architecture, and Enterprise Data leaders to align execution
Oversee performance management with an emphasis on outcomes, not just output
Develops and manages budget
Produces monthly forecasts
Approves operational expenditures
Determines variance of actual to forecast and takes action to correct/explain variances
Plans capacity fluctuations based on roadmap of features

Benefits

Medical, dental & vision
Hospital plans
401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
Life Insurance (Company paid Basic Life and AD&D as well as voluntary Life & AD&D for the 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)