Jobs · Engineering · New York

Learning Technology Manager

Accenture · Albany, New York Metropolitan Area · 3 wk ago
Engineering$94k–$266k/yrFull-time
We need to output HTML fragment with sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. Must not repeat job title. Must not include Job ID etc. Must remove boilerplate, navigation, legal, EEO, etc. Must preserve substantive info. We need to parse the posting. Let's extract content: First paragraph: "We Are Accenture's Learning Technology practice sits at the intersection of human potential and technology transformation. We partner with organizations to design, implement, and sustain modern learning ecosystems—helping them assess their current landscape, build future-state roadmaps, and select, implement, and integrate the platforms that power workforce reinvention at scale. Our work spans LMS, LXP, and skills platforms through to AI-enabled learning experiences, governance models, content ecosystems, and learner adoption strategies. The result: personalized, measurable learning that accelerates skill development and builds tomorrow's workforce, today." That's about the practice; could be "About the role" or "About Accenture"? The instruction: Use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we need to map content to these headings. Next: "You Are A learning technology consultant with a track record of turning complex client challenges into lasting outcomes. At the Manager level, you lead with delivery excellence—running LMS and learning technology workstreams with rigor, developing junior talent, and producing work that earns repeat trust. You're confident engaging senior stakeholders and comfortable operating alongside Managing Directors in high-stakes moments. Your project portfolio spans learning technology strategy roadmaps, ecosystem advisory, vendor selection, and full-cycle platform implementation. You understand what it takes to move from whiteboard to go-live—and you know how to bring clients along for the journey." That's describing the ideal candidate; could go under "Requirements" or "Qualifications". We'll decide. Next: "The Work Partner with client account teams to diagnose business challenges, define requirements, and translate them into actionable learning technology strategies.Lead LMS and learning technology selection engagements, guiding clients through structured evaluation and decision processes.Advise clients on learning process best practices in the context of modern LMS and LXP platforms.Collaborate with practice leadership to develop and grow the LMS project pipeline.Craft compelling proposals, solution configurations, and effort estimates for LMS, LXP, and broader learning tech engagements.Review and validate LMS solution designs, providing authoritative guidance on complex configuration and integration challenges.Build deep expertise in at least one learning technology domain—LMS, LXP, learning analytics, AI-enabled learning, or emerging skills platforms.Lead / coordinate large Learn Tech / LMS / LXP implementations working closely with globally distributed implementation teams Travel may be required for this role. The amount of travel will vary from 25% to 50% depending on business need and client requirements." That's responsibilities. Next: "Here's What You Need Minimum of 6 years of experience in learning technology consulting or implementationBachelor's degree or equivalent (minimum 12 years) work experience. If Associate's Degree, minimum 6 years work experience required Bonus Points If Demonstrated proficiency in one or more enterprise LMS platforms—Cornerstone OnDemand, SAP SuccessFactors Learning, Saba, SumTotal, or equivalentProven experience supporting business development and building learning technology pipelinesYou bring external, client-facing consulting experience from a professional services environmentYou have hands-on experience with AI-enabled learning tools or agentic AI use cases in the learning space" That's requirements/qualifications. Next: "Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We anticipate this job posting will be posted until 11/06/2026." That's pay info but not specific numbers; later they give salary ranges per location. So we have Pay section with ranges. Next: "Benefits Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here: U.S. Employee Benefits | Accenture" That's benefits. Next: "Role Location Annual Salary Range California $94,400 to $266,300 Colorado $94,400 to $230,000 ..." etc. That's pay details. We need to include Pay section only if posting actually states them. It does state salary ranges per location, so we include Pay. Schedule: Travel may be required, amount varies 25% to 50% depending on business need. That's schedule info (travel). So we can include Schedule section. We must not include sections with filler like "commensurate with experience". We have actual ranges. We must not include boilerplate like EEO, accommodation request, etc. Remove those. We must not repeat job title as heading. We must not include Job ID/requisition numbers. We must preserve all substantive information; do not invent or summarize away detail. We need to output only HTML fragment, no /, no markdown fences. We'll create sections: About the role (maybe combine intro about practice and you are...), Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. But we need to avoid thin sections. Let's see what content we have for each. About the role: Could include description of Accenture's Learning Technology practice and the role's purpose. That's substantive. Responsibilities: The bullet list of work items. Requirements: Minimum 6 years experience, degree etc. Qualifications: Bonus points items (proficiency in LMS platforms, business development, external consulting experience, AI-enabled learning tools). Could be under Qualifications. Skills: Could be derived from bonus points? Might be thin. Maybe we combine Qualifications and Skills? But we need to follow instruction: prefer a few substantive sections over many thin ones. Could combine Requirements and Qualifications into one "Requirements" section? But they ask to use those headings if content exists. We could have Requirements (including degree, experience) and Qualifications (bonus points). Skills maybe not needed if not explicit. The posting mentions "hands-on experience with AI-enabled learning tools" etc. That's skill. Could be under Skills. But we need to decide. Let's extract explicit skill mentions: "Demonstrated proficiency in one or more enterprise LMS platforms—Cornerstone OnDemand, SAP SuccessFactors Learning, Saba, SumTotal, or equivalent", "Proven experience supporting business development and building learning technology pipelines", "You bring external, client-facing consulting experience from a professional services environment", "You have hands-on experience with AI-enabled learning tools or agentic AI use cases in the learning space". Those are skills/experience. We could put them under Skills. Requirements: Minimum 6 years experience, Bachelor's degree or equivalent (minimum 12 years) work experience. If Associate's Degree, minimum 6 years work experience required. Qualifications: maybe not needed; we could treat those as Skills. But the instruction says use headings like Qualifications if there is real specific content. We have bonus points items; they are qualifications. So we can have Qualifications. Thus we will have sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Check each for substantive content. About the role: We have first two paragraphs describing practice and the role. That's good. Responsibilities: The "The Work" paragraph with many actions. We'll turn into
  • items. Requirements: Minimum 6 years experience, degree etc. We'll list. Qualifications: Bonus points items (proficiency in LMS platforms, business development, external consulting, AI-enabled learning). We'll list. Skills: Could be overlapping with Qualifications; maybe we can skip Skills if it's thin. But we have explicit skill mentions; maybe we can put them under Skills and keep Qualifications for something else? Actually the bonus points are qualifications. Skills could be things like "learning technology strategy roadmaps, ecosystem advisory, vendor selection, full-cycle platform implementation" but those are responsibilities. Might be thin. Better to combine Qualifications and Skills into one section? But instruction says prefer few substantive sections over many thin ones. If we have both Qualifications and Skills, they might be thin. Let's see if we can merge them into Qualifications (or Skills) and omit the other. We have explicit skill mentions: proficiency in LMS platforms, business development, external consulting, AI-enabled learning. Those are qualifications/skills. So we can put them under Qualifications. Thus we can omit Skills section. Now Benefits: we have description. Pay: we have salary ranges per location. Schedule: travel 25%-50%. Now we need to ensure we don't include filler like "commensurate with experience". Not present. We must not include the posting expiration date? That's not a section; we can ignore. We must not include legal boilerplate. Now produce HTML. We'll need to escape any HTML inside content? The posting includes an tag for benefits link. We should preserve that link as is inside

    maybe. The instruction: preserve ALL substantive information; do not invent or summarize away detail. So we keep the tag. Similarly, there may be other tags in benefits line. We'll keep them. Now structure:

    About the role

    We Are Accenture's Learning Technology practice sits at the intersection of human potential and technology transformation. We partner with organizations to design, implement, and sustain modern learning ecosystems—helping them assess their current landscape, build future-state roadmaps, and select, implement, and integrate the platforms that power workforce reinvention at scale. Our work spans LMS, LXP, and skills platforms through to AI-enabled learning experiences, governance models, content ecosystems, and learner adoption strategies. The result: personalized, measurable learning that accelerates skill development and builds tomorrow's workforce, today.

    You Are A learning technology consultant with a track record of turning complex client challenges into lasting outcomes. At the Manager level, you lead with delivery excellence—running LMS and learning technology workstreams with rigor, developing junior talent, and producing work that earns repeat trust. You're confident engaging senior stakeholders and comfortable operating alongside Managing Directors in high-stakes moments. Your project portfolio spans learning technology strategy roadmaps, ecosystem advisory, vendor selection, and full-cycle platform implementation. You understand what it takes to move from whiteboard to go-live—and you know how to bring clients along for the journey.

    That's about the role. Responsibilities:

    Responsibilities

    • Partner with client account teams to diagnose business challenges, define requirements, and translate them into actionable learning technology strategies.
    • Lead LMS and learning technology selection engagements, guiding clients through structured evaluation and decision processes.
    • Advise clients on learning process best practices in the context of modern LMS and LXP platforms.
    • Collaborate with practice leadership to develop and grow the LMS project pipeline.
    • Craft compelling proposals, solution configurations, and effort estimates for LMS, LXP, and broader learning tech engagements.
    • Review and validate LMS solution designs, providing authoritative guidance on complex configuration and integration challenges.
    • Build deep expertise in at least one learning technology domain—LMS, LXP, learning analytics, AI-enabled learning, or emerging skills platforms.
    • Lead/coordinate large Learn Tech/LMS/LXP implementations working closely with globally distributed implementation teams.
    • Travel may be required for this role; the amount of travel will vary from 25% to 50% depending on business need and client requirements.
    Note: Travel mention could also go to Schedule but we included here; but we also have

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