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Allegis Group

Global talent solutions provider network

IS Manager - Connected

Data Analysis +1Confirmed live in the last 24 hours
Full-timeHanover, MD, USA

About the Job

Requirements

  • A bachelor's degree in information systems, computer science, marketing technology, analytics, data, or a related field.
  • At least 6 years of progressive experience in IT, marketing technology, digital analytics, or platform delivery.
  • At least 3 years of people leadership managing engineers, analysts, or platform teams.
  • Experience delivering and managing enterprise marketing automation platforms such as Salesforce Marketing Cloud, Adobe Campaign, or similar platforms.
  • Experience with digital and experience analytics platforms such as Adobe Analytics, Quantum Metric, Google Analytics, or similar platforms.
  • Experience defining key performance indicators, measurement frameworks, and executive-level reporting.
  • Experience with tag management, data layers, and analytics quality assurance.
  • Experience integrating marketing and analytics platforms with customer relationship management, customer data, and enterprise data platforms.
  • Experience with privacy, consent, and data governance for customer engagement data.
  • Experience delivering within large-scale transformation programs.
  • Deep understanding of digital analytics, behavioral data, and experience metrics.
  • Ability to turn analytics into clear recommendations and execution decisions.
  • Experience with A/B testing, personalization, and experimentation.
  • Familiarity with business intelligence and visualization tools such as Power BI or Tableau.
  • Understanding of attribution, funnel analysis, and customer journey analytics.
  • Ability to influence roadmap decisions without formal authority.
  • Track record of using analytics, automation, or artificial intelligence to improve engagement and outcomes.
  • Ability to communicate executive-level insights by clearly presenting data.
  • Root-cause analysis, standardization, and scalability skills.

Responsibilities

  • Lead teams that deliver and support marketing technology and analytics platforms across Connected.
  • Own the Connected measurement framework, including key performance indicators, funnel definitions, adoption and engagement metrics, and links to business outcomes.
  • Set and enforce tagging, instrumentation, and data layer standards across web, mobile, and customer relationship management experiences.
  • Ensure analytics data is accurate, consistent, and trusted through validation, quality assurance, and monitoring.
  • Partner with Marketing, Product, and User Experience to design, launch, and optimize journeys, campaigns, personalization, and experiments.
  • Use behavioral and session analytics to find friction, errors, and drop-off points, then prioritize fixes.
  • Integrate marketing and analytics platforms with customer relationship management, customer data, and enterprise data platforms to keep profiles, consent, and attribution consistent.
  • Apply artificial intelligence and advanced analytics to personalize engagement and next-best actions, detect anomalies in experience and campaign performance early, and inform roadmap, investment, and optimization decisions.
  • Deliver executive dashboards and insights that show product performance, adoption, and return on investment.
  • Ensure compliance with privacy, consent, and data governance requirements.
  • Manage vendor relationships, licensing, and platform roadmaps for marketing technology and analytics tools.
  • Drive continuous improvement by reducing manual effort, rework, and reporting gaps through automation.
  • Build leaders and teams responsible for marketing technology, analytics, and measurement outcomes; coach teams to focus on insight quality, user impact, and business results.
  • Set clear ownership for metric definitions, analytics data quality, and platform health, and foster evidence-based decisions.
  • Embed artificial-intelligence-first and experiment-driven thinking into team planning, delivery, and optimization.
  • Partner with Marketing, Product, User Experience, Data, and Architecture leaders to align execution.
  • Manage performance with an emphasis on outcomes rather than output.
  • Develop and manage budgets, produce monthly forecasts, approve operational expenditures, assess actual-to-forecast variances and take corrective or explanatory action, and plan capacity fluctuations based on the feature roadmap.

Desired Qualifications

  • Use of analytics, automation, or artificial intelligence to improve engagement and outcomes.
  • Familiarity with business intelligence and visualization tools such as Power BI or Tableau.

About the Company

Allegis Group

Global talent solutions provider network

Allegis Group connects people with job opportunities and helps businesses with workforce needs through a network of specialized staffing and talent solutions brands. It offers a full suite of services—staffing, recruitment, managed services, and advisory—across industries, pairing job seekers with employers, managing talent pipelines, and delivering workforce solutions at scale via a global footprint. The company differentiates itself by providing an integrated, end-to-end set of talent solutions through a large portfolio of brands, giving it broad industry reach and consistent, high-quality experiences. Its goal is to help businesses win and careers soar by solving workforce challenges and delivering value across the talent lifecycle.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Hanover, Maryland
Founded
1983

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