ai product manager

Experts Group International

<div>
 <p>
  <strong>
   Position Title: AI Product Manager
  </strong>
 </p>
 <p>
  <strong>
   Contract: 2-year renewable contract
  </strong>
 </p>
 <p>
  <strong>
   Location: Ras Al Khaimah
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Purpose
  </strong>
 </p>
 <p>
  The organization is seeking an experienced AI Product Manager to lead the implementation and delivery of Generative AI and Agentic AI solutions across customer and operational journeys.
 </p>
 <p>
  This role focuses on translating business needs into scalable, AI-powered products, ensuring seamless integration with CRM, ERP, and internal systems. The AI Product Manager will drive execution from use case definition through rollout and adoption, ensuring measurable business impact and user value.
 </p>
 <p>
  The role also involves leading AI Engineers responsible for building and maintaining AI solutions, ensuring alignment between product vision and technical execution.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Core Responsibilities
  </strong>
 </p>
 <p>
  <strong>
   AI Product Delivery &amp; Execution
  </strong>
 </p>
 <ul>
  <li>
   Manage the lifecycle of Generative AI and Agentic AI solutions, from use case definition and user stories to deployment and continuous improvement.
  </li>
  <li>
   Lead backlog prioritization, sprint planning, and delivery tracking for:
  </li>
  <li>
   Conversational agents
  </li>
  <li>
   AI copilots
  </li>
  <li>
   Self-service journeys
  </li>
  <li>
   Lead AI Engineers and collaborate with platform and engineering teams to ensure timely, high-quality delivery.
  </li>
 </ul>
 <p>
  <strong>
   Product Implementation &amp; Integration
  </strong>
 </p>
 <ul>
  <li>
   Translate business requirements into configurable AI workflows and product features.
  </li>
  <li>
   Ensure seamless integration of AI solutions with CRM, ERP, and internal systems.
  </li>
  <li>
   Work closely with vendors and internal teams to ensure successful deployment and rollout of AI capabilities.
  </li>
  <li>
   Monitor product performance and drive continuous improvements and enhancements.
  </li>
 </ul>
 <p>
  <strong>
   Roadmap Delivery &amp; Business Alignment
  </strong>
 </p>
 <ul>
  <li>
   Translate AI roadmap initiatives into clear product plans with defined outcomes and KPIs.
  </li>
  <li>
   Align stakeholders on:
  </li>
  <li>
   Business objectives
  </li>
  <li>
   Success metrics
  </li>
  <li>
   Value realization
  </li>
  <li>
   Ensure UAT completion, documentation, and business readiness for each release.
  </li>
 </ul>
 <p>
  <strong>
   Cross-Functional Collaboration
  </strong>
 </p>
 <ul>
  <li>
   Collaborate with:
  </li>
  <li>
   Data Scientists and ML Engineers
  </li>
  <li>
   Data Engineering teams
  </li>
  <li>
   CRM / ERP teams
  </li>
  <li>
   Business stakeholders
  </li>
  <li>
   Act as the central coordination point for AI product initiatives.
  </li>
  <li>
   Facilitate agile ceremonies including sprint reviews, demos, and UAT cycles.
  </li>
 </ul>
 <p>
  <strong>
   User Experience &amp; Adoption
  </strong>
 </p>
 <ul>
  <li>
   Ensure AI-powered features are:
  </li>
  <li>
   Intuitive
  </li>
  <li>
   Context-aware
  </li>
  <li>
   Adopted by end users
  </li>
  <li>
   Gather feedback, usage signals, and pain points to refine product fit.
  </li>
  <li>
   Drive adoption through demos, training, and stakeholder engagement.
  </li>
 </ul>
 <p>
  <strong>
   Performance Tracking &amp; Optimization
  </strong>
 </p>
 <ul>
  <li>
   Define and track key product metrics such as:
  </li>
  <li>
   Adoption rate
  </li>
  <li>
   Response quality
  </li>
  <li>
   Business impact (e.g., conversion, efficiency gains)
  </li>
  <li>
   Work with teams to continuously improve AI solutions based on data and feedback.
  </li>
 </ul>
 <p>
  <strong>
   Training &amp; Support
  </strong>
 </p>
 <ul>
  <li>
   Develop training materials and quick-reference guides for business users.
  </li>
  <li>
   Support ongoing enhancements and ad hoc AI product requirements.
  </li>
  <li>
   Ensure continuous improvement through user feedback loops.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Communication &amp; Working Relationships
  </strong>
 </p>
 <p>
  <strong>
   Internal
  </strong>
 </p>
 <ul>
  <li>
   Data Engineering Team
  </li>
  <li>
   CRM and ERP Teams
  </li>
  <li>
   Business Users
  </li>
 </ul>
 <p>
  <strong>
   Purpose of Interaction:
  </strong>
 </p>
 <ul>
  <li>
   Collaborate on AI initiatives
  </li>
  <li>
   Ensure accurate data sourcing and integration
  </li>
  <li>
   Deliver business-aligned AI solutions
  </li>
 </ul>
 <p>
  <strong>
   External
  </strong>
 </p>
 <ul>
  <li>
   Implementation partners
  </li>
  <li>
   AI platform vendors
  </li>
 </ul>
 <p>
  <strong>
   Purpose of Interaction:
  </strong>
 </p>
 <ul>
  <li>
   Support implementation and governance
  </li>
  <li>
   Ensure timely and accurate vendor delivery
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications, Experience &amp; Skills
  </strong>
 </p>
 <p>
  <strong>
   Educational and Professional Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Degree in Computer Science, Engineering, Data Science, or equivalent practical experience
  </li>
  <li>
   Specialization or hands-on experience in Generative AI, LLMs, or conversational AI frameworks
  </li>
 </ul>
 <p>
  <strong>
   Experience
  </strong>
 </p>
 <ul>
  <li>
   5+ years of experience in product management, AI/ML solutions, or digital product delivery
  </li>
  <li>
   Proven experience delivering:
  </li>
  <li>
   AI/ML-driven products
  </li>
  <li>
   Enterprise system integrations
  </li>
  <li>
   Cross-functional AI initiative
  </li>
 </ul>
</div>


AI Product Manager

Anotech

<div>
 <p>
  <strong>
   Job Purpose:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Cognitive AI Product Manager owns the vision, roadmap, and delivery outcomes, ensuring they are delivered as scalable, secure, multi-tenant platform services consumed by customers. The role defines product strategy and success metrics, prioritizes features across vendor-delivered workstreams, and drives alignment across architecture, security, data governance, operations, and commercial stakeholders. The Product Manager shapes the service catalog experience, packaging (sandbox, managed, self-hosted), and lifecycle (launch, adoption, continuous improvement), ensuring the platform meets performance, compliance, and cost targets while improving developer and operator experience.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications &amp; Experience:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   8+ years in product management for platform, cloud, data, or AI/ML products in enterprise/government/telco contexts.
  </li>
  <li>
   Experience delivering API-based products and developer platforms (documentation, SDKs, self-service onboarding).
  </li>
  <li>
   Exposure to multi-vendor delivery models (SIs, managed services) and contract-based acceptance/KPI management.
  </li>
  <li>
   Experience working with security, privacy, and data governance requirements in regulated environments.
  </li>
  <li>
   Familiarity with cloud-native architectures and Kubernetes-based platforms; multicloud exposure preferred.
  </li>
  <li>
   Prior experience launching AI-enabled products (assistants, RAG, analytics, governance) is a strong plus.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Skills &amp; Abilities:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Strong product management capability for complex platform products (service catalog, APIs, multi-tenant services).
  </li>
  <li>
   Good understanding of AI platforms (inference, RAG, fine-tuning, guardrails, governance) and cloud-native delivery.
  </li>
  <li>
   Ability to define measurable KPIs/SLOs and manage delivery through acceptance criteria and outcomes.
  </li>
  <li>
   Excellent stakeholder management across technical, commercial, legal, security, and operations teams.
  </li>
  <li>
   Strong prioritization and decision-making under constraints; ability to manage dependencies across vendors.
  </li>
  <li>
   Clear communication and narrative-building for executive and technical audiences.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Tools:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Product delivery: Azure DevOps Boards, roadmapping tools (Aha!/Jira Product Discovery)
  </li>
  <li>
   Analytics: PostHog, KPI dashboards (Power BI)
  </li>
  <li>
   API/product artifacts: OpenAPI/Swagger, Postman, documentation portals (Backstage/ReadMe-style)
  </li>
  <li>
   Collaboration: Miro, Figma, MS Teams
  </li>
 </ul>
 <p>
 </p>
</div>


Cognitive AI Product Manager

Arab Solutions

<div>
 <strong>
  Job Title:
 </strong>
 Cognitive AI Product Manager
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 The Cognitive AI Product Manager owns the vision, roadmap, and delivery outcomes for TASMU 2.0 Cognitive AI capabilities, ensuring they are delivered as scalable, secure, multi-tenant platform services consumed by ministries and gov entities. The role defines product strategy and success metrics, prioritizes features across vendor-delivered workstreams, and drives alignment across architecture, security, data governance, operations, and commercial stakeholders. The Product Manager shapes the service catalog experience, packaging (sandbox, managed, self-hosted), and lifecycle (launch, adoption, continuous improvement), ensuring the platform meets performance, compliance, and cost targets while improving developer and operator experience.
 <br/>
 <br/>
 <strong>
  Duties And Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Define Cognitive AI product vision, value proposition, and multi-year roadmap aligned with TASMU 2.0 objectives.
  </li>
  <li>
   Translate stakeholder needs into epics/features/user stories with clear acceptance criteria and measurable outcomes.
  </li>
  <li>
   Own prioritization across core components: model inferencing service, RAG/KB, fine-tuning, MCP/agentic enablement, observability, analytics, multitenancy, and multicloud.
  </li>
  <li>
   Manage vendor delivery as product workstreams: scope control, dependencies, milestones, and evidence-based acceptance (KPIs/SLOs).
  </li>
  <li>
   Define service catalog offerings (SKUs/tiers), onboarding flows, pricing/chargeback inputs, and operational SLAs/OLAs.
  </li>
  <li>
   Drive governance with architects and security/privacy leads (policies, model approvals, data boundaries, exception handling).
  </li>
  <li>
   Establish product analytics and adoption tracking (PostHog): funnels, retention, developer productivity metrics, and customer satisfaction signals.
  </li>
  <li>
   Coordinate go-to-market/internal enablement: documentation, training materials, release notes, demos, and stakeholder communications.
  </li>
  <li>
   Lead launch readiness and continuous improvement: incident learnings, feedback loops, backlog grooming, and quarterly roadmap reviews.
  </li>
  <li>
   Ensure compliance with contract schedules: performance, security, support/maintenance obligations, and audit evidence requirements.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills &amp; Abilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong product management capability for complex platform products (service catalog, APIs, multi-tenant services).
  </li>
  <li>
   Good understanding of AI platforms (inference, RAG, fine-tuning, guardrails, governance) and cloud-native delivery.
  </li>
  <li>
   Ability to define measurable KPIs/SLOs and manage delivery through acceptance criteria and outcomes.
  </li>
  <li>
   Excellent stakeholder management across technical, commercial, legal, security, and operations teams.
  </li>
  <li>
   Strong prioritization and decision-making under constraints; ability to manage dependencies across vendors.
  </li>
  <li>
   Clear communication and narrative-building for executive and technical audiences.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Potential Background
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   8+ years in product management for platform, cloud, data, or AI/ML products in enterprise/government/telco contexts.
  </li>
  <li>
   Experience delivering API-based products and developer platforms (documentation, SDKs, self-service onboarding).
  </li>
  <li>
   Exposure to multi-vendor delivery models (SIs, managed services) and contract-based acceptance/KPI management.
  </li>
  <li>
   Experience working with security, privacy, and data governance requirements in regulated environments.
  </li>
  <li>
   Familiarity with cloud-native architectures and Kubernetes-based platforms; multicloud exposure preferred.
  </li>
  <li>
   Prior experience launching AI-enabled products (assistants, RAG, analytics, governance) is a strong plus.
   <br/>
   <br/>
  </li>
 </ul>
 Skills: rag/kb,scope control,multicloud,governance,ai/ml,sis,sdks,cloud,documentation,stakeholder,data,slas/olas,analytics
</div>


PROZ TECHNOLOGIES

<p><b>JOB DESCRIPTION</b></p><p>The Cognitive AI Product Manager owns the vision, roadmap, and delivery outcomes for TASMU 2.0 Cognitive AI capabilities, ensuring they are delivered as scalable, secure, multi-tenant platform services consumed by ministries and gov entities. The role defines product strategy and success metrics, prioritizes features across vendor-delivered workstreams, and drives alignment across architecture, security, data governance, operations, and commercial stakeholders. The Product Manager shapes the service catalog experience, packaging (sandbox, managed, self-hosted), and lifecycle (launch, adoption, continuous improvement), ensuring the platform meets performance, compliance, and cost targets while improving developer and operator experience.</p><p><b>DUTIES &amp; RESPONSIBILITIES</b></p><ul><li>Define Cognitive AI product vision, value proposition, and multi-year roadmap aligned with TASMU 2.0 objectives.</li><li>Translate stakeholder needs into epics/features/user stories with clear acceptance criteria and measurable outcomes.</li><li>Own prioritization across core components: model inferencing service, RAG/KB, fine-tuning, MCP/agentic enablement, observability, analytics, multitenancy, and multicloud.</li><li>Manage vendor delivery as product workstreams: scope control, dependencies, milestones, and evidence-based acceptance (KPIs/SLOs).</li><li>Define service catalog offerings (SKUs/tiers), onboarding flows, pricing/chargeback inputs, and operational SLAs/OLAs.</li><li>Drive governance with architects and security/privacy leads (policies, model approvals, data boundaries, exception handling).</li><li>Establish product analytics and adoption tracking (PostHog): funnels, retention, developer productivity metrics, and customer satisfaction signals.</li><li>Coordinate go-to-market/internal enablement: documentation, training materials, release notes, demos, and stakeholder communications.</li><li>Lead launch readiness and continuous improvement: incident learnings, feedback loops, backlog grooming, and quarterly roadmap reviews.</li><li>Ensure compliance with contract schedules: performance, security, support/maintenance obligations, and audit evidence requirements.</li></ul><p><b>SKILLS &amp; ABILITIES</b></p><ul><li>Strong product management capability for complex platform products (service catalog, APIs, multi-tenant services).</li><li>Good understanding of AI platforms (inference, RAG, fine-tuning, guardrails, governance) and cloud-native delivery.</li><li>Ability to define measurable KPIs/SLOs and manage delivery through acceptance criteria and outcomes.</li><li>Excellent stakeholder management across technical, commercial, legal, security, and operations teams.</li><li>Strong prioritization and decision-making under constraints; ability to manage dependencies across vendors.</li><li>Clear communication and narrative-building for executive and technical audiences</li></ul><p><b>POTENTIAL BACKGROUND</b></p><ul><li>8+ years in product management for platform, cloud, data, or AI/ML products in enterprise/government/telco contexts.</li><li>Experience delivering API-based products and developer platforms (documentation, SDKs, self-service onboarding).</li><li>Exposure to multi-vendor delivery models (SIs, managed services) and contract-based acceptance/KPI management.</li><li>Experience working with security, privacy, and data governance requirements in regulated environments.</li><li>Familiarity with cloud-native architectures and Kubernetes-based platforms; multicloud exposure preferred.</li><li>Prior experience launching AI-enabled products (assistants, RAG, analytics, governance) is a strong plus</li></ul><p><b>PREFERRED TOOLS / SOFT SKILLS</b></p><ul><li>Product delivery: Azure DevOps Boards, roadmapping tools (Aha!/Jira Product Discovery)</li><li>Analytics: PostHog, KPI dashboards (Power BI)</li><li>API/product artifacts: OpenAPI/Swagger, Postman, documentation portals (Backstage/ReadMe-style)</li><li>Collaboration: Miro, Figma, MS Teams</li></ul><p><b>Soft skills</b></p><ul><li>Strong facilitation and workshop leadership (requirements, prioritization, discovery)</li><li>Structured thinking and ability to simplify complex technical domains into clear product increments</li><li>Commercial awareness: scope control, value-based prioritization, and vendor management</li><li>Customer-centric mindset with bias toward measurable adoption and developer productivity</li><li>High ownership and accountability; ability to unblock delivery across teams</li><li>Confident communication with executives, architects, and vendors; crisp written documentation</li></ul><p>Job Type: Permanent</p><p>Pay: Up to QAR23,000.00 per month</p><p>Work Location: In person</p>

Precisely

<div><div><p><b>Application and Interview Impersonation Notice</b><b>: </b>Impersonating another individual when applying for employment, and/or participating in an interview process to assist another individual in obtaining employment, with Precisely Software Incorporated (&ldquo;Precisely&rdquo;) is unlawful. If Precisely identifies such fraudulent conduct, then as applicable and to the extent permitted by law, the application will be rejected, an offer (if made) will be rescinded, or the employment will be terminated, and legal action may be taken against the impersonators.</p>
<p>
Precisely is the leader in data integrity. We empower businesses to make more confident decisions based on trusted data through a unique combination of software, data enrichment products and strategic services. What does this mean to you? For starters, it means joining a company focused on delivering outstanding innovation and support that helps customers increase revenue, lower costs and reduce risk. In fact, Precisely powers better decisions for more than 12,000 global organizations, including 95 of the Fortune 100. Precisely's 2500 employees are unified by four company core values that are central to who we are and how we operate: Openness, Determination, Individuality, and Collaboration. We are committed to career development for our employees and offer opportunities for growth, learning and building community. With a &quot;work from anywhere&quot; culture, we celebrate diversity in a distributed environment with a presence in 30 countries as well as 20 offices in over 5 continents. Learn more about why it's an exciting time to join Precisely!</p>
<p>
Precisely is an AI-first organization. All employees are expected to demonstrate proficiency in applying AI tools to accelerate their work, improve output quality, and eliminate low-value tasks. Candidates should be comfortable using generative AI tools (e.g., Microsoft Copilot, ChatGPT) in their day-to-day workflows, able to evaluate AI-generated outputs critically, and open to continuously adopting new AI capabilities as they emerge.</p></div><div><p><b>
This position is 100% remote anywhere in the US</b></p>
<p><b>
Overview:</b></p>
<p>
Precisely&rsquo;s Summer Internship Program is a paid, part-time opportunity for undergraduate students actively enrolled in university. This is an 10-week program that begins Monday June 8, 2026 and ends Friday August 14, 2026. This opportunity is 100% remote and you must be located in the United States during the summer internship. The Product Manager AI Intern will work closely with the Product Management team.</p>
<p>
The Product Management AI Intern will be responsible for 2 key initiatives. The first initiative will be to accelerate delivery of a core feature of the product roadmap and take it from requirements definition/validation to delivery. You will also be responsible for creating a feedback loop to determine success, lessons learned and next steps. The second initiative will be to automate &ndash; via an agent &ndash; a key workflow or set of tasks that will enable Product Managers on an ongoing basis to move faster in areas of competitive intelligence, status reports/updates or reporting.</p>
<p><b>
What you will do:</b></p>
<ul>
<li>You will be involved in the day-to-day life of a Product Manager at Precisely and help accelerate our roadmap by taking an idea from conception to delivery.</li>
<li>Help define requirements by understanding market problems that need to be solved by taking an analytical approach of being able to answer &ldquo;what&rdquo; and &ldquo;why&rdquo;.</li>
<li>You will be responsible for validating requirements by being involved in customer interviews and getting additional feedback from our sales teams.</li>
<li>Make use of modern AI tools and services to accelerate prototyping, iteration and delivery of core product features.</li>
<li>Increase operational efficiency by automating standard Product Management workflows using AI and agents to drastically save time on tasks that are repeated or time-consuming.</li>
</ul>
<p><b>What we are looking for:</b></p>
<ul>
<li>Computer Science major (or equivalent experience) that has successfully delivered self-driven or college-based projects implementing frontend and backend systems for web application development</li>
<li>Knowledgeable, understands and uses AI tools, services and LLMs from known vendors such as OpenAI, Anthropic and/or Google</li>
<li>Ability to develop business analysis, market research and strategic thinking skills through real-world product management scenarios</li>
<li>Strong communication skills to work with cross-functional teams in Product Management, Engineering, Sales and Product Marketing</li>
</ul>
<p><b>Program benefits:</b></p>
<ul>
<li>Valuable experience related to the degree you are pursuing.</li>
<li>Hands on experience at an established tech company.</li>
<li>Networking opportunities with company leaders around the globe.</li>
</ul>
<p>#LI-REMOTE</p></div><div><p>
The personal data that you provide as a part of this job application will be handled in accordance with relevant laws. For more information about how Precisely handles the personal data of job applicants, please see the Precisely Candidate Privacy Notice</p></div></div>

AI Product Manager Intern

Experian

<div><p>The Principal GenAI Product Manager EMAP will be responsible for shaping and executing Experian EMAP&rsquo;s AI‑enhanced product strategy across the Ascend and Fraud portfolios.</p><p>
This is a specialist role in the EMAP Product Management team. The role focuses on embedding Generative AI capabilities into core products, reimagining customer propositions, accelerating innovation, and driving adoption across diverse EMAP markets.</p><p>
Operating horizontally across Product, Engineering, Data Science, Client Delivery, and Market Product teams, the role acts as a bridge between global GenAI strategy, regional priorities, and market execution.</p><p>
The ideal individual will bring:</p><ul><li>
Disruptive mindset</li><li>
Deep understanding of generative AI technologies</li><li>
Strong product instincts</li><li>
Ability to convert opportunities into scalable, commercially viable features aligned to Experian&rsquo;s product operating model</li></ul><p><b>
What You&rsquo;ll Do</b></p><p><b>
GenAI Product Strategy &amp; Direction</b></p><ul><li>
Own the regional GenAI product strategy and roadmap for EMAP across Ascend and Fraud, informed by:<ul><li>
EMAP customer VOC and market needs</li><li>
Regional regulatory and risk considerations</li><li>
Global GenAI platforms, priorities, and capabilities</li></ul></li><li>
Identify where Generative AI can materially improve customer outcomes, product differentiation, and operational efficiency.</li><li>
Translate emerging GenAI capabilities into clear product intent, priorities, and roadmaps.</li></ul><p><b>
Product Discovery &amp; Productisation</b></p><ul><li>
Lead discovery of high‑impact GenAI opportunities across customer journeys and internal product workflows.</li><li>
Define use cases with clear value hypotheses, success measures, and risk considerations.</li><li>
Drive productisation of GenAI capabilities, moving from concept and proof points into scalable, production‑ready features embedded in core products.</li><li>
Ensure solutions are designed for repeatability, supportability, and regional scale, rather than bespoke delivery.</li></ul><p><b>
Scaling &amp; Adoption Across EMAP</b></p><ul><li>
Work with markets and regional functions to scale GenAI use cases across EMAP, with primary focus on customer‑facing innovation and considering productivity enablement where it supports product outcomes</li><li>
Define how GenAI capabilities will be adopted, measured, and evolved over time across markets.</li><li>
Track outcomes including adoption, productivity gains, customer impact, and product differentiation.</li></ul><p><b>
Embedding GenAI into Core Platforms</b></p><ul><li>
Partner with Engineering and Data Science to embed GenAI capabilities into existing Ascend and Fraud products, rather than standalone tools.</li><li>
Ensure GenAI features are explainable and auditable by design; aligned to Experian&rsquo;s product operating model and naturally integrated into customer and analyst workflows</li><li>
Balance rapid innovation with long‑term platform integrity, trust, and regulatory compliance</li></ul><p><b>
Cross</b><b>‑</b><b>Functional &amp; GTM Collaboration</b></p><ul><li>
Act as a senior product partner across Engineering, Architecture, Data Science, Client Delivery, Market Product, and regional GTM teams.</li><li>
Collaborate with GTM to shape AI‑driven value propositions, pricing inputs, and adoption models, ensuring clear and responsible client messaging.</li><li>
Influence prioritisation and solution design through strong product judgement, evidence‑based trade‑offs, and clear articulation of customer and commercial value.</li><li>
Operate effectively in a matrixed, global environment without formal line authority.</li></ul><p><b>
Governance, Risk &amp; Responsible AI</b></p><ul><li>
Work closely with regional and global AI technology teams to ensure GenAI governance, controls, and guardrails are embedded into product design and delivery.</li><li>
Ensure GenAI product capabilities align with:</li></ul><ul><li>
Product development and risk frameworks</li><li>
Legal, compliance, and regulatory requirements across EMAP</li><li>
Responsible AI principles (fairness, transparency, traceability)</li></ul><p><b>
Client Co</b><b>‑</b><b>Creation &amp; Ecosystem Engagement</b></p><ul><li>
Co‑create GenAI capabilities with selected clients to validate value, usability, and adoption.</li><li>
Partner with global technology and AI platform teams to leverage external GenAI providers where appropriate, in line with Experian standards and governance.</li></ul><p><b>
GenAI Thought Leadership &amp; Storytelling</b></p><ul><li>
Act as an internal GenAI product ambassador for EMAP.</li><li>
Share success stories, learnings, and impact narratives to support alignment, adoption, and momentum across product teams and markets</li></ul><p><b>
What Success Looks Like</b></p><ul><li>
GenAI capabilities embedded into EMAP products at scale, not isolated pilots</li><li>
Tangible improvements in customer decision quality, speed, and usability</li><li>
Clear, aligned GenAI priorities across product teams and markets</li><li>
Innovation delivered responsibly, maintaining Experian&rsquo;s standards of trust and compliance</li></ul><br>
<br>
<div>About Experian</div><br>
<p>Ready to make a difference? Experian has evolved into a global tech company and specialized in data and analytics. We're passionate about unlocking the power of data to transform lives and create opportunities for consumers, businesses and society. We're a member of the FTSE 30 and for more than 125 years we've helped economies and communities flourish &ndash; and we're not done.</p><p>
Discover the Unexpected - Our 22k amazing employees in 30+ countries believe the possibilities for you, and the world, are growing. We're investing in the future, through new technologies, experienced people and new ideas so we can help create a better tomorrow. To do this we employ 'big-thinkers' that share our purpose #uniquelyexperian</p><br>
<br>
<div>Experience and Skills</div><br>
<p><b>What You&rsquo;ll Bring</b></p><ul><li>
Significant experience as a Senior Product Manager / Principal PM in complex software, platform, or data‑driven environments.</li><li>
Strong grounding in product discovery, productisation, and outcome‑based prioritisation.</li><li>
Deep understanding of Generative AI concepts, patterns, and limitations.</li><li>
Ability to translate AI capabilities into practical, customer‑ready product features.</li><li>
Proven ability to lead through influence rather than hierarchy.</li><li>
Strong communication skills with senior stakeholders and technical teams.</li><li>
Experience operating in regulated or high‑trust environments is highly advantageous.</li></ul><br>
<br>
<div>Additional Information<br>
</div><br>
<div></div><p>Experian Careers - Creating a better tomorrow together</p></div><p></p>

Principal Gen AI Product Manager, EMAP

McKesson

<div><div><div><h2 class="jobSectionHeader"><b>Success Profile</b></h2>
<p>What makes a successful Lead Technical Product Manager &ndash; Finance AI? Here are the top traits.</p>
<div></div><div><ul><div>Conceptual</div>
<div></div><div>Proactive</div>
<div></div><div>Problem-Solver</div>
<div></div><div>Strategic</div>
<div></div><div>Technologically Savvy</div>
<div></div><div>Visual Thinker</div>
</ul></div></div></div><div></div>
<div><h2 class="jobSectionHeader"><div><b>Culture</b></div></h2>
<div></div><div><div><div><div><div><div><div>Accomplish</div>
<p>Make a meaningful impact by using your problem-solving skills to push the boundaries of innovation in healthcare, while maintaining a healthy work-life balance.</p>
</div></div></div><div></div><div><div><div><div>Innovate</div>
<p>Foster a digital mindset to drive IT transformation across McKesson through our evolving data and technology tools.</p>
</div></div></div><div></div><div><div><div><div>Grow</div>
<p>Join a supportive environment where you can advance your career and develop both personally and professionally.</p><br>
</div></div></div></div></div></div></div><div></div>
<div><div><h2 class="jobSectionHeader"><b>Benefits</b></h2>
<div></div><ul><div><h3 class="jobSectionHeader"><b>Coverage you can rely on</b></h3>
<ul><li>Medical, Dental, and Vision</li><li>
Health Spending Accounts</li><li>
Flexible Spending Accounts</li></ul>
</div><div></div><div><h3 class="jobSectionHeader"><b>Benefits that go beyond your base pay</b></h3>
<ul><li>401(k) (U.S.)</li><li>
Pension (Canada)</li><li>
Employee Stock Purchase Plan</li></ul>
</div><div></div><div><h3 class="jobSectionHeader"><b>Support for total well-being</b></h3>
<ul><li>Mental Health Programs</li><li>
Flexible Schedules</li><li>
Paid Time Off</li><li>
Wellness Program</li><li>
Education Reimbursement</li><li>
Volunteer Opportunities</li><li>
Flexible Work Environment</li></ul>
</div><div></div><div><h3 class="jobSectionHeader"><b>A culture powered by belonging</b></h3>
<div>By fostering a culture of belonging, we advance our goal of being the best place to work in healthcare&mdash;connecting the right talent to the right roles to solve our most critical challenges.</div><br>
</div></ul></div></div><div></div>
<div><div><h2 class="jobSectionHeader"><b>Responsibility</b></h2>
<div><p>McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve &ndash; we care.</p><p>
What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow&rsquo;s health today, we want to hear from you.</p><p>
The Lead Technical Product Manager (TPM) for AI for Oncology &amp; Multispecialty (O&amp;M) Finance will drive the strategy, development, and execution of AI‑powered products that enhance operational efficiency, financial accuracy, and decision intelligence across O&amp;M Finance. This role blends product strategy, technical depth, agile leadership, and cross‑functional influence &mdash; operating at the intersection of Finance, Advanced Analytics, Engineering, and Finance Operations. This TPM will shape the roadmap for AI‑enabled finance capabilities, translate business needs into high‑impact product features, and guide teams to deliver scalable digital solutions that improve top‑line and bottom‑line outcomes. The role demands deep technical acumen in data science and AI/ML, strong critical thinking skills, and the ability to influence cross-functional teams without direct authority.</p><p><b>
Key Responsibilities</b>:</p><p><b>
Product Ownership &amp; Execution</b></p><ul><li><p>
Own and evolve the AI for O&amp;M Finance product roadmap, ensuring alignment with business strategy and measurable financial outcomes.</p></li><li><p>
Convert ambiguous business problems into well‑defined project charters, success metrics, user stories, and technical requirements.</p></li><li><p>
Lead ideation, discovery, and continuous improvement workshops to surface new automation and AI opportunities.</p></li><li><p>
Own and drive AI initiatives ensuring each use case has clear scope boundaries, defined value hypotheses, delivery readiness criteria and post-deployment success metrics</p></li><li><p>
Lead prioritization decisions across competing initiatives by balancing business value, feasibility, effort, and risk.</p></li><li><p>
Define and evolve the technical implementation roadmap in partnership with data science and engineering</p></li></ul><p><b>
Technical Collaboration</b></p><ul><li><p>
Work closely with analytics and engineering teams to ensure feasibility, scalability, and alignment with architectural standards.</p></li><li><p>
Participate in sprint planning, standups, and retrospectives to promote on-time delivery.</p></li><li><p>
Maintain sufficient technical depth across AI/ML concepts, data pipelines, APIs, and cloud platforms to guide solution design.</p></li></ul><p><b>
Stakeholder Engagement</b></p><ul><li><p>
Builds strong, trust-based relationships with stakeholders, including business units, data, advanced analytics, engineering, and executive leadership, to ensure alignment on product goals and priorities.</p></li><li><p>
Regularly uses immediate customer feedback loops, incorporating customer &amp; user feedback into the prioritization of current product feature expansion, and new product development.</p></li><li><p>
Support customer discovery and usability testing to inform product decisions.</p></li></ul><p><b>
Project and Financial Management</b></p><ul><li><p>
Own financials for the program, including budget adherence and ROI analysis.</p></li><li><p>
Monitor project KPIs, risks, and resource allocation; report progress to leadership.</p></li></ul><p><b>
Communication and Documentation</b></p><ul><li><p>
Communicate progress, risks, and dependencies to cross-functional teams and executive audiences.</p></li><li><p>
Develop and socialize product roadmaps, decision logs, and technical rationale to ensure transparency and alignment across teams.</p></li><li><p>
Create and maintain product documentation, including technical specs, release notes, and user guides.</p></li></ul><p>
Minimum Requirement<b>:</b></p><ul><li><p>
Degree or equivalent and typically requires 10+ years of relevant experience</p></li></ul><p>
Critical Experience/Skills<b>:</b></p><ul><li><p>
10+ years of professional experience in progressively advancing technical product management roles preferably focused on data, analytics and AI.</p></li><li><p>
Demonstrated understanding of product technical product lifecycle management, agile methodologies, and digital transformation.</p></li><li><p>
Solid understanding of modern digital architectures, AL/ML Product development lifecycles, APIs, cloud platforms, data ecosystems, and software development practices.</p></li><li><p>
Proven experience working with and influencing highly matrixed teams.</p></li><li><p>
Proven ability to build financial business cases and justify product investments.</p></li><li><p>
Excellent communication, leadership, and stakeholder management skills.</p></li></ul><p>
Additional Experience/Skills<b>:</b></p><ul><li><p>
Hands-on experience in health care industry (especially oncology) and/or regulated environment is a plus.</p></li><li><p>
Experience with financial modeling</p></li><li><p>
Optional but advantageous: oncology or healthcare revenue cycle management.</p></li><li><p>
The following (or similar) certifications are optional but advantageous: Certified Product Manager (CPM); Scrum Master, SAFe, etc.</p></li><li><p>
Bachelor&rsquo;s or Master&rsquo;s degree (in Computer Science, Information Systems, MBA in Finance or related field preferred).</p></li></ul><div>
We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson,<div>
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Our Base Pay Range for this position</b></p>
$136,300 - $227,100<p>
McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson&rsquo;s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:<br>
<br>
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.</p><p><br>
McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.</p><div>
McKesson job postings are posted on our career site: careers.mckesson.com<div>
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.</div><p><b>
McKesson is an Equal Opportunity Employer</b></p><div>
McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson&rsquo;s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity<div>
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 page.</div><div>
McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com<div>
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 or (Canada) Accessibility@mckesson.ca<div>
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. Resumes or CVs submitted to this email box will not be accepted.</div><p><b>
Join us at McKesson!</b></p></div></div></div></div><div></div>

Lead Technical Product Manager – Finance AI

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Lead Technical Product Manager – Finance AI