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Manager - Connected

Listing for: Allegis Group
Full Time position Listed on 2026-11-05
Job specializations:
Salary/Wage Range or Industry Benchmark: 109000 - 186600 USD Yearly USD 109000.00 186600.00 YEAR

Job Description & How to Apply Below

Overview

Job Summary:

As an Information Services (IS) Manager in the Connected Program, this role leads the delivery and management of marketing technology, digital analytics and experience measurement across Connected products.

The manager owns the platforms and data that show how candidates, clients and recruiters engage with Connected experiences. That includes marketing automation, digital analytics, and experience analytics platforms (for example, Salesforce Marketing Cloud, Adobe Experience Cloud, or Quantum Metric). The role makes sure engagement is measured accurately, insights are trusted, and data feeds back into product, marketing and business decisions.

This leader goes beyond keeping tools running. The role turns behavioral and campaign data into clear metrics, actionable insights and measurable business outcomes, and uses AI and automation to personalize experiences and improve performance.

With a Marketing Technology, Metrics and Analytics focus, this role is accountable for:

  • Marketing platform health, customer journeys and campaign delivery
  • Digital analytics instrumentation, tagging standards and data accuracy
  • Product and experience metrics, including adoption, conversion, engagement and friction
  • Turning analytics and AI-driven insights into product and marketing improvements
  • Scaling measurement and engagement capabilities across operating companies

Required in-office presence at least 4 days per week

Responsibilities

Essential Functions:

  • Lead teams that deliver and support marketing technology and analytics platforms across Connected
  • Own the Connected measurement framework: KPIs, funnel definitions, adoption and engagement metrics, and links to business outcomes
  • Set and enforce tagging, instrumentation and data layer standards across web, mobile and CRM-based experiences
  • Make sure analytics data is accurate, consistent and trusted through validation, QA and monitoring
  • Partner with Marketing, Product and UX 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 CRM, customer data and enterprise data platforms to keep profiles, consent and attribution consistent
  • Apply AI and advanced analytics to:
  • Personalize engagement and next-best actions
  • Detect anomalies in experience and campaign performance early
  • Inform roadmap, investment and optimization decisions
  • Deliver executive dashboards and insights that show product performance, adoption and ROI
  • Ensure compliance with privacy, consent and data governance requirements
  • Manage vendor relationships, licensing and platform roadmaps for marketing tech and analytics tools
  • Drive continuous improvement by reducing manual effort, rework and reporting gaps through automation

Supervisory or Management Responibility:

  • Act as Coach-Leader, building leaders and teams responsible for marketing tech, analytics and measurement outcomes
  • Coach teams to look past campaign or tag delivery toward insight quality, user impact and business results
  • Set clear ownership for metrics definitions, analytics data quality and platform health
  • Build a culture of evidence-based decisions, using data instead of anecdote
  • Embed AI-first and experiment-driven thinking into how teams plan, deliver and optimize
  • Partner closely with Marketing, Product, UX, Data and Architecture leaders to align execution
  • Manage performance with an emphasis on outcomes, not just output

Budget Responsibility:

  • 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
Qualifications



Minimum Education and/or

Experience:

  • Bachelor's degree in information systems, Computer Science, Marketing Technology, Analytics, Data or a related field
  • 6+ years of progressive experience in IT, marketing technology, digital analytics or platform delivery
  • 3–5 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)
  • Experience with digital and experience analytics platforms (such as Adobe Analytics, Quantum Metric, Google Analytics or similar)
  • Proven experience defining KPIs, measurement frameworks and executive-level reporting
  • Experience with tag management, data layers and…
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