Principal Product Manager - AI and Skills Taxonomist
India - Hyderabad
Skillsoft
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This role will manage Skillsoft’s skill taxonomy partnering with the engineering team to use AI to map roles, skills and learning content enabling role-based learning, skill measurement and reporting, and automated curation of content in different forms and outputs.
Use of AI to create and maintain the skill taxonomy
Analyze the title and description of digital learning assets and extract skills from them
Analyze skills and cluster them into a hierarchical skill taxonomy
Use AI to develop leveling for each skill
Meet with customers to discuss taxonomy
Meet with customers to discuss skills taxonomy, approach as a Skillsoft subject matter expert on our skills work
Work with sales to represent this capability and respond to RFPs as needed
Primary contact for customers that raise issues with skills match rate to Workday or SAP Talent Intelligence Hub integrations; manage the internal operational process to strengthen match rate (e.g. service, tools, messaging to clients, project management of work to address issues and improve match rate)
Support customer-specific skill taxonomy implementations
Assist customers in using their proprietary skill taxonomies and mapping Skillsoft skills and content to theirs
Assist customers in using off-the-shelf taxonomies and mapping Skillsoft skills and content to them
Develop approaches and train professional services teams to scale the operation
Maintain the taxonomy up to date with emerging and future skills
Analyze external trends and customer data for emerging skills to capture in the taxonomy
Align to World Economic Forum taxonomy and emerging skills/roles
Develop other methods to update the taxonomy
Manage the skill entity lifecycle (update, merge and deprecate skills in the taxonomy when needed)
Human-in-the-loop and quality assurance
Perform routine quality analysis of automated skill mappings and execute continuous quality improvement
Collaborate with colleagues to establish human-in-the-loop process
Develop AI methods to assess quality of the tagging
Utilizing the skill taxonomy in features in the learning platform
Determine how to best utilize the skill taxonomy to support dashboards, progress metrics, role-based recommendations, etc.
Modify the taxonomy as needed to maximize value of the features
Ecosystem integrations
Maintain and optimize industry-leading integrations with key talent management systems
Contribute to industry think-tanks developing standards for skill proficiency data
Alternative Job Role Names for “Skill Taxonomy Specialist”
1. Learning Experience Platform (LXP) Skills Analyst
2. Digital Learning Asset Analyst
3. Skill Taxonomy Specialist
4. Learning Content Strategy Analyst
5. Skill Mapping and Content Strategist
6. Learning and Development Data Analyst
Knowledge, Skills, Attitudes and Tools
Knowledge:
Strong understanding of Data Science principles and methodologies.
Proficient in text language mapping and Natural Language Processing (NLP).
Familiarity with taxonomic frameworks from external providers such as SFIA, NICE, NIST, DDaT, and others.
Understanding of API integrations and how to leverage them for data enrichment.
Familiarity with Agile software development practices, ideally SAFe Agile Framework.
Knowledge of learning experience platforms (LXP).
Understanding of consulting engagements and job role and skill architecture design and analysis.
Skills:
Strong analytical skills to analyze and interpret complex data.
Exceptional research skills to understand new taxonomies and apply them to the development of adjacent taxonomies.
Proficiency in using data science tools and programming languages such as Python, R, SQL, etc.
Ability to use AI chat systems like Azure OpenAI Chat GPT for data enrichment.
Excellent problem-solving skills to detect outliers in the taxonomic model and address incomplete taxonomy data.
Ability to support consulting engagements through collaboration with Professional Services Consultants.
Ability to work in a team with software engineers and product managers in an Agile environment.
Attitudes:
Detail-oriented and highly organized to manage large sets of data.
Self-motivated and curious, always ready to explore new taxonomies and learning technologies.
Collaborative mindset, ready to work with different teams and stakeholders.
Strong desire to continually learn and stay updated with the latest industry trends and changes.
Patience and persistence in dealing with complex data and potentially incomplete taxonomies.
Tools:
Data Science Tools: Python, R, SQL, etc.
Natural Language Processing (NLP) Tools
API Integrations
AI Chat Systems: Azure OpenAI Chat GPT
Agile Tools (e.g., JIRA, Confluence)
Learning Experience Platforms (LXP)
MORE ABOUT SKILLSOFT:
Skillsoft delivers online learning, training, and talent solutions to help organizations unleash their edge. Leveraging immersive, engaging content, Skillsoft enables organizations to unlock the potential in their best assets – their people – and build teams with the skills they need for success. Empowering 36 million learners and counting, Skillsoft democratizes learning through an intelligent learning experience and a customized, learner-centric approach to skills development with resources for Leadership Development, Business Skills, Technology & Development, Digital Transformation, and Compliance.
Skillsoft is partner to thousands of leading global organizations, including many Fortune 500 companies. The company features three award-winning systems that support learning, performance and success: Skillsoft learning content, the Percipio intelligent learning experience platform, which offers measurable impact across the entire employee lifecycle. Learn more at www.skillsoft.com.
Thank you for taking the time to learn more about us.
If this opportunity intrigues you, we would love for you to apply!
NOTE TO EMPLOYMENT AGENCIES: We value the partnerships we have built with our preferred vendors. Skillsoft does not accept unsolicited resumes from employment agencies. All resumes submitted by employment agencies directly to any Skillsoft employee or hiring manager in any form without a signed Skillsoft Employment Agency Agreement on file and search engagement for that position will be deemed unsolicited in nature. No fee will be paid in the event the candidate is subsequently hired as a result of the referral or through other means.
Skillsoft is an Equal Opportunity-Affirmative Action Employer: It is the policy of Skillsoft (US) Corporation to provide equal employment opportunities to applicants and employees without regard to race, color, national origin, citizenship, religion, sex, sexual orientation, age, marital status, disability (mental or physical), protected veteran status, genetic information or any other class protected by law.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs Architecture Azure ChatGPT Confluence Consulting Engineering GPT Jira NLP OpenAI Python R Research SQL
Perks/benefits: Career development
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