Content Enablement Lead

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

This role is the final gatekeeper of learning quality and coherence.

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