IS Manager - Connected

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

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