Sr Dir Product Management Position Available In Albany, New York

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Company:
Lumen
Salary:
JobFull-timeOnsite

Job Description

Job Order Number:
DG0203629
Job Title:

Sr Dir Product Management

Company:
Lumen Location:

Albany, NY

Salary:
Education:

Information Not Provided

Experience:

Information Not Provided

Hours:
Duration:

Full Time, Regular

Shift:
Description:

 •About Lumen•Lumen connects the world. We are igniting business growth by connecting people, data and applications – quickly, securely, and effortlessly. Together, we are building a culture and company from the people up – committed to teamwork, trust and transparency. People power progress.

We’re looking for top-tier talent and offer the flexibility you need to thrive and deliver lasting impact. Join us as we digitally connect the world and shape the future.•The Role•Leads the strategy, design, and productization of automation platforms and service intelligence tools that power Lumen’s Managed Network Services (MNS) and Managed Security Services (MSS) portfolios. This role is responsible for building scalable solutions that reduce operational overhead, improve response time, enhance visibility, and drive cost efficiency across Lumen’s managed service delivery. Acts as the bridge between service delivery, product teams, engineering, and operations to develop intelligent automation, observability platforms, AI-driven workflows, and customer-facing management tools that underpin the managed service experience.•The Main Responsibilities•The Main Responsibilities Owns the vision and roadmap for platforms and tools supporting managed servicedelivery automation, including:o AI-driven observability and telemetryo Service orchestration and provisioning automationo Self-healing workflows and event correlation engineso Customer service portals and reporting dashboardso Automated runbooks, ticketing, and escalation tools Collaborates with MNS and MSS product teams to align automation initiatives withservice delivery requirements, SLAs, and customer expectations. Partners with Engineering and IT to build scalable platform capabilities that can be re-used across multiple service lines and customer segments. Drives the implementation of AI and machine learning models that enable predictiveanalytics, intelligent alerting, and dynamic incident management. Leads cross-functional teams in the development of internal and customer-facing toolsthat reduce time-to-deliver, increase service consistency, and improve supportefficiency. Works closely with Service Operations to translate manual or resource-heavy processesinto automated workflows and digital support journeys. Develops standard frameworks for automation reuse, policy enforcement, exceptionhandling, and lifecycle governance. Defines and tracks KPIs such as automation coverage, ticket deflection, MTTR reduction,and operational cost savings. Drives service intelligence innovation by integrating insights from service data intocontinuous product and operational improvements. Ensures all tools are built with scalability, multi-tenancy, security, and extensibility inmind – to support a diverse customer base and evolving managed service models. Creates detailed business cases and financial justifications to support automationinvestments and platform development.•What We Look For in a Candidate•Experience 10+ years in a leadership role in product management, automation platforms, orenterprise IT with direct experience in AI, automation, and service tools Proven success in developing tools and platforms that support managed services orIT operations at scale Background in telecom, cybersecurity, or enterprise IT required, especially withexposure to MNS and MSS environmentsEducation Bachelor’s Degree in Engineering, Computer Science, or related field; MBA oradvanced degree in technical management preferredOther Job Requirements Strong understanding of AI/ML concepts, observability architectures, andenterprise automation platforms (e.g., Ansible, ServiceNow, Moogsoft, BigPanda,Dynatrace, etc.) Familiarity with APIs, microservices, and data pipeline architectures used tosupport real-time service intelligence Experience building platforms with extensibility for both internal users andcustomer-facing functionality Demonstrated ability to lead cross-functional

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