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Gen Digital · CZE - Prague

Senior Manager, Content Strategy Manager

CZE - PragueFull-timeManager or leadOperations

Listed on Gen Digital’s official careers site. Posted September 30, 2026. Check that it is still open and apply there.

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Job description

The Senior Manager, Content Strategy will lead the newly established content management capability within Experience Management, building a high-performing, future-ready function for AI-enabled support experiences. This role will own the strategy, quality, structure, governance, and continuous improvement of source-of-truth support content across customer-facing, agent-facing, and AI-powered channels. The role will ensure content is accurate, clear, trusted, reusable, and structured so it can be effectively indexed, retrieved, and surfaced by customer- and employee-facing AI agents, as well as by human support teams.

The role is central to delivering a seamless customer experience when customers need help with their products. It will bring content work into a unified operating model, replacing fragmented ownership with clear standards, workflows, publishing controls, lifecycle management, and measurable quality expectations. The Senior Manager, Content Strategy will lead a team of subject-matter experts and content specialists and partner closely with Experience Streams, Support Delivery, AI Enablement, Quality Assurance, Training, Product, Operations, and vendor teams.

KEY RESPONSIBILITIES

CONTENT STRATEGY AND GOVERNANCE - Own the managed source-of-truth content function across customer, agent, and AI experiences.

  • Define and deliver a content strategy that supports self-service, virtual-agent, agent-assist, live-agent, and training experiences.
  • Translate approved product, policy, and process changes into structured, trusted, and reusable support content.
  • Define and maintain content models, taxonomies, metadata standards, templates, editorial guidelines, and style guardrails.
  • Establish and manage publishing workflows, review cycles, version control, content inventories, and lifecycle standards.
  • Build a unified operating model for governed content creation, review, publication, maintenance, and retirement. CONTENT CREATION AND CONTINUOUS IMPROVEMENT - Lead the creation, maintenance, and continuous improvement of customer-facing Help Center and knowledge-base content.
  • Own agent-facing knowledge, FAQs, answer-store content, and known-issue knowledge where these form part of the source-of-truth layer.
  • Ensure content is designed for findability, reuse, consistency, accessibility, usability, and AI readiness across the support ecosystem.
  • Use content audits, search insights, customer and agent feedback, AI quality signals, and operational data to identify and prioritize improvements.
  • Lead content UAT, content QA, surfacing validation, search and findability reviews, and governance checks.
  • Validate that the right content object, variant, tag, and answer surface in the right place, in the right format, and at the right time. AI-ENABLED SUPPORT EXPERIENCES - Partner with AI Enablement to ensure content packages, structures, and requirements are ready for prompts, bots, low-code solutions, agent-assist tools, and other AI use cases.
  • Ensure content is structured to support retrieval, automation, and hybrid support experiences.
  • Monitor AI-driven quality signals and translate them into targeted content improvements.
  • Help establish practical standards for content accuracy, transparency, consistency, and trust in AI-enabled experiences. LEADERSHIP AND CROSS-FUNCTIONAL PARTNERSHIP - Lead, coach, and develop a team of subject-matter experts and content professionals, establishing clear ways of working, ownership, quality expectations, and development plans.
  • Manage team capacity, prioritization, performance, and delivery against business and customer needs.
  • Partner with Experience Streams to translate customer intent, scenarios, and experience requirements into governed content outputs.
  • Work with Support Delivery to align content work with intake, sequencing, readiness, and governance processes.
  • Partner with Quality Assurance to turn customer and AI-quality signals into targeted content improvements.
  • Collaborate with Training, vendors, Operations, Product, and Support stakeholders to ensure content changes are understood and operationally usable. WHAT SUCCESS LOOKS LIKE - A clearly established and trusted content management function within Experience Management. - A single, governed operating model for customer-, agent-, and AI-facing support content.
  • Improved accuracy, consistency, reuse, findability, accessibility, and overall quality of support content.
  • Greater confidence that content is structured, AI-ready, and surfacing correctly across channels.
  • Improved customer and agent satisfaction with the content used to resolve support needs.
  • Faster movement from customer or operational insight to a governed content change.
  • Stronger collaboration across Experience Streams, Content Strategy, Support Delivery, Quality Assurance, and AI Enablement. - A high-performing team of subject-matter experts and content specialists operating with clear standards, ownership, and development support. WHAT YOU WILL BRING - Significant experience in content strategy, content management, knowledge management, content operations, digital support content, or a related field.
  • Experience leading teams of subject-matter experts, writers, content specialists, editors, or knowledge professionals. - A strong understanding of how content structure, taxonomy, metadata, governance, and editorial standards improve findability and reuse.
  • Experience creating and managing content across multiple digital and support channels. - A track record of improving content quality through analytics, audits, search insights, feedback, and performance signals.
  • Experience with content management systems, knowledge bases, workflow tools, search optimization, or AI-enabled support platforms.
  • Experience building or scaling content governance models, publishing workflows, and content lifecycle processes.
  • An understanding of AI-facing content design and how content should be structured for retrieval, automation, agent assist, and hybrid support experiences.
  • Strong stakeholder management skills and confidence working across business, operations, product, technical, and support teams.
  • Excellent editorial judgment, written communication skills, and the ability to make complex information clear and actionable.
  • Confidence operating in ambiguity and building new ways of working in a changing environment. - A practical, customer-centered approach with a strong focus on quality, trust, usability, and continuous improvement.

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