Role Purpose The Content Enablement Lead – Content Management Services role exists to own and scale TresVista’s enterprise learning content ecosystem—strategy, governance, operating model, and measurable business impact. This role is accountable for: • Defining and driving enterprise-wide content strategy aligned to business priorities and capability needs • Building a high-performing content operations engine (intake → design → build/buy/curate → QA → publish → refresh/retire) • Ensuring the LMS and learning channels consistently offer current, relevant, high-quality, and discoverable content • Leveraging AI and modern learning technologies to accelerate speed, quality, personalization, and cost efficiency • Establishing strong standards for instructional quality, consistency, and learning experience design • Delivering executive-ready insights on content usage, effectiveness, gaps, and ROI to senior leadership This role is pivotal in ensuring learning content is not just “available,” but strategically curated, outcome-driven, and operationally excellent—enabling employees to learn faster, perform better, and scale capability across the firm. Core Responsibilities 1.Enterprise Content Strategy & Governance (Ownership): Own the enterprise content strategy across capability areas, levels, and formats. Accountabilities include: • Defining content principles, standards, and governance (quality bar, taxonomy, review cadence, version control) • Building a firm-wide content roadmap aligned to capability priorities and business outcomes • Driving “build vs buy vs curate vs AI-generate” decision frameworks and final recommendations • Establishing content investment priorities, annual planning inputs, and success metrics • Ensuring content strategy is translated into clear, scalable execution plans and operating rhythms This role ensures content is treated as a strategic asset—not a library of courses. 2. Content Operating Model & Content Lifecycle Excellence: Design, run, and continuously improve the end-to-end content operating model. Responsibilities include: • Building an enterprise content lifecycle system: • Intake and prioritization • Content design and production workflows • QA and publishing controls • Refresh / retire / replace rules • Ensuring disciplined execution across trackers, SLAs, handoffs, and stakeholder alignment • Establishing content hygiene standards (tagging, metadata, searchability, categorization, naming conventions) • Creating reliable “single source of truth” content inventories across platforms and formats • Driving audit cycles across capability areas to ensure relevance and currency This role ensures the engine runs at scale—cleanly, consistently, and predictably. 3. Instructional Design Standards & Learning Experience Quality: Own the quality bar and learning experience standards for all content in the ecosystem. Responsibilities include: • Defining instructional design standards for: • Learning outcomes • Structure and flow • Engagement and practice design • Assessment integrity (where applicable) • Accessibility and inclusivity • Setting QA frameworks and review rubrics to ensure consistent quality across internal and vendor-created content • Coaching the content team and influencing stakeholders on strong learning design principles • Ensuring content is learner-friendly, business-relevant, and performance-oriented—not just informational 4. AI-Led Content Transformation (Strategy + Execution Enablement): Lead TresVista’s AI-first content transformation—adoption, workflows, governance, and impact measurement. Responsibilities include: • Defining an AI roadmap for content creation, curation, personalization, and maintenance • Operationalizing AI use cases such as: • Rapid drafting and storyboarding • Content repurposing (ILT → digital → microlearning) • Summarization and knowledge extraction • Auto-tagging and metadata generation • Translation and localization support (where needed) • Quality checks and standardization • Establishing guardrails: accuracy, bias checks, IP/confidentiality, version control, human-in-the-loop review • Driving experimentation, tool evaluation, and scale-up of proven workflows • Building team capability to use AI as an accelerator—not a shortcut Expected and preferred Tools Expertise: • Authoring Tools: Articulate 360, Adobe Captivate, Rise, Storyline • LMS Platforms: DisprZ, Cornerstone, Workday, Talent LMS etc • Image/Video Tools: Synthesia, DALL-E, MidJourney, Camtasia, Adobe Premiere Pro etc • LLMs: Gemini, Co-Pilot, Claude ai • Presentation Tools: Canva, Gamma, Tome 5. Data, Insights, and Executive Reporting (Decision Intelligence): Own content analytics and decision intelligence for leadership. Responsibilities include: • Defining KPIs and dashboards for: • Content usage and engagement • Content health (freshness, relevance, retirement rate) • Coverage vs gaps across capabilities • Cost and effort metrics (build/buy/curate/AI) • Business impact signals (where measurable) • Producing executive-ready insights for leadership reviews and governance forums • Using data to prioritize refresh cycles, investments, and ecosystem improvements • Ensuring reporting is: • Clean • Accurate • Decision-useful • Consistently maintained 6. Ecosystem Management: Vendors, Partners, and Stakeholders: Lead and govern the broader content ecosystem across internal teams and external partners. Responsibilities include: • Managing vendor strategy, evaluation, onboarding, governance, and performance SLAs • Driving consistent briefs, standards, timelines, and quality expectations with external creators • Partnering with L&D, business leaders, SMEs, and HR stakeholders to: • Source expertise • Align content to business needs • Ensure adoption and relevance • Influencing senior stakeholders on priorities, trade-offs, and content rationalization decisions 7. People Leadership & Capability Building (Team + Culture): Build, lead, and develop a strong content management function. Responsibilities include: • Building functional capability across: • Learning design excellence • Content operations discipline • AI-enabled workflows • Analytics and executive communication • Creating a high-ownership culture focused on quality, speed, and trust • Establishing clear roles, career pathways, and skill development plans What This Role Is Not This role does not: • Own learner allocation, cohort management, or training logistics (unless explicitly scoped) • Function only as LMS administration support • Operate without governance—this role is accountable for standards and decisions This role exists to lead strategy, governance, operating excellence, and transformation—while enabling scalable What Success Looks Like • The firm has a coherent, enterprise-level learning content strategy with clear governance • LMS and learning channels contain content that is current, relevant, discoverable, and high quality • Content lifecycle (refresh/retire/update) runs on schedule with strong discipline and hygiene • AI-enabled workflows materially improve speed, cost efficiency, and standardization without compromising quality • Leadership receives clear, decision-ready insights on content health, gaps, and impact • Vendor ecosystem runs smoothly with strong briefs, predictable timelines, and consistent quality • The team demonstrates high ownership, strong learning design maturity, and operational excellence Education & Background Strong academic (Graduate / Post-Graduate preferred) background is mandatory Preferred disciplines: • Instructional Design / Learning Experience Design • Education Technology • Psychology • Communications • Business, Human Resources, or Organizational Development Experience 10-12 years of experience across: • Learning content strategy and content operations at scale • Instructional design leadership and quality governance • LMS/content ecosystem management and digital learning delivery models • Vendor management and external content partnerships • Stakeholder management with senior business leaders Strong advantage: • AI-led content transformation experience (designing and scaling workflows, not just tool usage) • Leading teams and building operating rhythms for enterprise L&D functions Key Skills & Attributes • Enterprise Content Strategy: Ability to set direction, priorities, and governance frameworks • Operating Model Excellence: Builds scalable workflows, standards, and predictable execution • Instructional Design Leadership: Strong judgment on what “good” looks like and how to enforce it • AI Transformation Mindset: Practical, disciplined adoption of AI with guardrails and measurable impact • Data & Decision Intelligence: Uses metrics to drive prioritization, investment, and lifecycle decisions • Stakeholder Influence: Confident executive communication and alignment across senior leaders • Vendor & Ecosystem Leadership: Strong partner governance, SLAs, and quality assurance • People Leadership: Coaches teams, builds capability, and drives high ownership culture • High Standards + Speed: Balances quality bar with delivery velocity and scalability Career Opportunity This role offers: • Enterprise-level ownership of learning content strategy and transformation • Opportunity to build a modern, AI-enabled content ecosystem as a scalable capability • High-visibility leadership partnering with senior stakeholders across the firm • A platform to shape how capability development is experienced organization-wide • Pathway into broader L&D leadership, COE leadership, or enterprise capability strategy roles AI First Way of Working The Content Enablement Lead - Content Management Services is expected to lead an AI-enabled way of working—setting the direction, governance, and culture for how AI is used across learning content. AI is used to improve: • Speed and quality of content creation and maintenance • Standardization, tagging, and searchability of content • Analysis, synthesis, and executive reporting efficiency • Cost efficiency and scalability across the learning ecosystem