Corporate Vice President, AI Enablement Manager

We need to output HTML fragment with sections for headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We must not repeat job title. No Job ID. Remove boilerplate. We need to parse the posting. Location Designation: Hybrid - 3 days per week (maybe schedule? Actually schedule is location designation; we could treat as Schedule? The rule: Use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we can include Schedule if posting states schedule. It says "Location Designation: Hybrid - 3 days per week". That's schedule info. So we can include a Schedule section with that. Business Unit Overview: could be About the role? Actually "Business Unit Overview" describes the unit. Could be About the role. We'll treat as About the role. Role Overview: also about role. We'll combine. What You'll Do: Responsibilities. What You'll Bring: Requirements? Actually "What You'll Bring" includes required skills and experience. Could be Requirements and Qualifications and Skills. We need to separate: Required Skills And Experience, Preferred Skills And Experience, Measures of Success? Actually Measures of Success is maybe about success metrics, not needed. We have Pay Transparency: Salary Range etc. So Pay section. Benefits: "Our Benefits" section. Schedule: location designation. We must not include sections with filler like "commensurate with experience". Not present. We need to preserve all substantive info, not invent or summarize away detail. So we need to include details from each section. We must use

• for any list of duties/requirements/benefits, and

  for prose. We need to decide what constitutes a list. Many bullet-like sentences in "What You'll Do" are each a sentence starting with a verb. Could treat as list items. Similarly "What You'll Bring" required skills are bullet-like sentences. We'll convert to

  • . We need to avoid repeating content. Let's extract sections: About the role: combine Business Unit Overview and Role Overview. Business Unit Overview text: "At New York Life Direct, you’ll be joining the nation’s #1 direct-to-consumer provider of life insurance. The AARP Life Insurance Program from New York Life is endorsed by AARP and is the only life insurance program developed exclusively for AARP members. Your work will help more Americans achieve greater financial security and peace of mind." Role Overview text: "The Manager of AI Enablement leads the function responsible for accelerating the responsible adoption and delivery of artificial intelligence capabilities across New York Life Direct. The team partners with business and technology stakeholders to identify high-value opportunities, shape scalable solutions, and move AI capabilities from discovery and experimentation through production, adoption, and measurable business impact. The scope is centered on agentic AI, supported by generative AI, predictive AI and machine learning, and advanced analytics enablement. The Manager is accountable for a cohesive AI enablement strategy and roadmap that brings together solution architecture, hands-on engineering, technical program leadership, reusable technology capabilities, governance, operating practices, and organizational adoption. The Manager combines people leadership, technology strategy, program execution, and sufficient technical depth to guide direction and challenge solutions while empowering senior technical leaders to own architecture and implementation decisions. The role builds strong partnerships across business teams, Application Development, Solution Architecture, Data and Analytics, Security, Technology Risk, Infrastructure, and enterprise AI and technology organizations." We'll combine into a few paragraphs. Responsibilities (What You'll Do): list each bullet. Let's extract each sentence after "What You'll Do". They are: - Define and execute the strategy, roadmap, operating model, and priorities for AI Enablement across NYL Direct. - Lead and develop a multidisciplinary team spanning AI solution architecture, AI engineering, technical program leadership, and advanced analytics and AI enablement. - Partner with business and technology leaders to identify, assess, and prioritize AI opportunities based on business value, feasibility, data readiness, operational impact, risk, and ability to scale. - Provide leadership for the end-to-end AI solution lifecycle, from opportunity discovery and prototyping through architecture, engineering, integration, production deployment, adoption, monitoring, and continuous improvement. - Guide the delivery of agentic AI solutions, with supporting use of generative AI, predictive AI and machine learning, and advanced analytics, that are integrated into business processes and enterprise technology ecosystems. - Establish reusable AI capabilities, reference architectures, design patterns, integration approaches, evaluation frameworks, and engineering practices that accelerate delivery and reduce duplication. - Ensure AI solutions align with enterprise standards for responsible AI, security, privacy, architecture, data governance, compliance, resiliency, supportability, and operational risk. - Establish lifecycle practices for AI evaluation, testing, observability, monitoring, optimization, and ongoing management of agent and model behavior in production. - Advance modern AI engineering practices, including software engineering discipline, cloud-native delivery, automation, prompt and context engineering, agent orchestration, and AI-specific quality engineering. - Provide portfolio and technical program leadership across AI initiatives, creating transparency into priorities, dependencies, capacity, risks, decisions, delivery progress, and expected outcomes. - Drive organizational adoption by establishing practical enablement, training, reusable guidance, communities of practice, and change strategies that help teams apply AI effectively and responsibly. - Establish metrics for AI adoption, time-to-value, solution quality, reliability, reuse, productivity improvement, financial and operational impact, and realized business value. - Evaluate emerging AI technologies, platforms, frameworks, and delivery approaches, balancing innovation with enterprise risk, maintainability, cost, scalability, and sustainable value. - Build strong partnerships with enterprise AI, data, architecture, cloud, security, and technology teams to leverage shared investments, align standards, and influence enterprise capabilities where appropriate. - Develop, coach, and manage team members with clear accountability, strong technical development, and a culture of experimentation, engineering excellence, responsible innovation, and measurable outcomes. We'll put each as
  • . Requirements / Qualifications / Skills: We have "What You'll Bring" which includes required skills and experience, then "Preferred Skills And Experience". Also "Bachelor's degree..." etc. We need to decide sections: Could have Requirements (required), Qualifications (education), Skills (maybe combined). But rule: prefer few substantive sections over many thin ones. We could combine Required Skills And Experience and Preferred Skills And Experience into a Skills section? But we also have education. Could have Qualifications for education, Skills for technical skills. However we must not create sections with filler. We have real content for each. We could do: - Requirements (required skills and experience) - Qualifications (education) - Skills (preferred skills and experience) But we need to check if we have enough content for each. Required Skills And Experience list: - Significant experience in technology leadership, software engineering, AI or data solution delivery, and end-to-end implementation of enterprise technology capabilities. - Demonstrated experience leading technical professionals, developing talent, managing performance, and building high-performing multidisciplinary teams. - Strong understanding of artificial intelligence, with primary depth in agentic AI and supporting knowledge of generative AI, predictive AI and machine learning, advanced analytics, and the business and technology patterns through which these capabilities create value. - Experience guiding enterprise AI solutions from ideation and architecture through engineering, integration, production deployment, monitoring, support, and continuous optimization. - Strong understanding of modern software architecture, cloud platforms, APIs and integration, data architecture, automation, and scalable application delivery. - Understanding of AI solution lifecycle practices including evaluation, testing, observability, model and agent monitoring, and operational management. - Strong understanding of responsible AI, security, privacy, data governance, technology risk, and enterprise control requirements for AI-enabled solutions. - Demonstrated ability to translate business objectives into a prioritized AI portfolio with clear value hypotheses, delivery roadmaps, outcome measures, and adoption strategies. - Experience leading complex cross-functional programs, managing dependencies and delivery risks, and working effectively with vendors and strategic technology partners. - Excellent leadership, communication, stakeholder management, facilitation, and influencing skills across executive, business, and technical audiences. - Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, or equivalent practical experience. Note: Bachelor's degree is also education; could be in Qualifications. Preferred Skills And Experience list: - Experience with enterprise AI and cloud platforms and services, particularly AWS-based AI and machine learning capabilities. - Familiarity with large language models, AI orchestration and agent frameworks, retrieval and grounding patterns, vector search, prompt and context engineering, and AI evaluation approaches. - Experience with advanced analytics, data science, predictive modeling, or machine learning enablement in addition to generative AI. - Experience in applying product management, portfolio management, or change management practices to emerging technology capabilities. - Experience driving AI transformation in financial services or another regulated enterprise environment. Measures of Success: maybe not needed as a section; but could be included under something else? Not required headings list includes Benefits, Pay, Schedule. Measures of Success not in list, so we should not create a heading for it unless we map to one of allowed headings. Not allowed. So we omit. Benefits: "Our Benefits" section: "We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work. Click here to discover more about our comprehensive benefit options or visit our NYL Benefits Site." We need to preserve all substantive info; we can include that as prose

    . The "Click here..." is maybe a link but we can keep as text. Pay: Pay Transparency section: includes Salary Range, Overtime eligible, Discretionary bonus eligible, Sales bonus eligible, note about base salary determination, annual discretionary bonus, incentive program. We'll include as

    • maybe each item. Schedule: Location Designation: Hybrid - 3 days per week. We'll output as

      maybe. Now ensure we don't include boilerplate like "Click here to discover more about our comprehensive benefit options or visit our NYL Benefits Site." That's part of Benefits; we keep. Also we should not include "Click here to learn more about New York Life’s leadership in this space." etc. That's under Inclusion; we omit because not in allowed headings and it's boilerplate. Also omit "Recognized as one of Fortune’s World’s Most Admired Companies..." etc. Also omit "Job Requisition ID: 94844". Also omit "Location Designation: Hybrid - 3 days per week" we used for Schedule. Now produce HTML fragment. Structure:

      About the role

      ... combined paragraphs ...

      Responsibilities

      • ...
      ...

      Requirements

      • ...
      ...

      Qualifications

      Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, or equivalent practical experience.

      Skills

      • ...
      ...

      Benefits

      We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work. Click here to discover more about our comprehensive benefit options or visit our NYL Benefits Site.

      Pay

      • Salary Range: $130,000-$190,000
      • Overtime eligible: Exempt
      • Discretionary bonus eligible: Yes
      • Sales bonus eligible: No
      • Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location.
      • Additionally, employees are eligible for an annual discretionary bonus.