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- Tasks: Lead AI & Analytics projects, ensuring they align with company goals and deliver value.
- Company: Join Pension Insurance Corporation, a leader in innovative financial solutions.
- Benefits: Enjoy private medical insurance, 28 days annual leave, and a generous pension scheme.
- Why this job: Shape the future of AI strategy while working in a dynamic, collaborative environment.
- Qualifications: Experience in AI concepts, stakeholder management, and agile project delivery is essential.
- Other info: This is a full-time, mid-senior level role based in London.
The predicted salary is between 43200 - 72000 £ per year.
Direct message the job poster from Pension Insurance Corporation plc Talent Acquisition Manager – Specialist Hires and Projects at Pension Insurance Corporation Role Purpose PIC is looking for an AI & Analytics Product Manager is a key role within the AI & Analytics Centre of Excellence (COE), responsible for actively managing the overall portfolio of AI & Analytics initiatives across the organisation. This role offers the opportunity to shape the organisation\’s AI & Analytics strategy, driving the delivery of a diverse portfolio of AI & Analytics initiatives while owning the development and success of specific AI & Analytics products. Key Responsibilities Oversee the overall portfolio of AI & Analytics work, ensuring all initiatives align with organisational goals and deliver measurable value. Manage dependencies and prioritise initiatives within the AI & Analytics portfolio, balancing resources and timelines across workstreams. Collaborate with the AI Working Group and AI & Analytics COE Leadership to develop and refine the broader AI portfolio strategy Act as the primary interface between the AI & Analytics COE, business stakeholders, and delivery teams, ensuring expectations are aligned and requirements are clear Oversee the end-to-end delivery of AI & Analytics solutions, ensuring quality, timeliness, and adherence to budget Work closely with technical teams to ensure solutions are developed using best practices and align with AI governance and compliance standards. Role Purpose PIC is looking for an AI & Analytics Product Manager is a key role within the AI & Analytics Centre of Excellence (COE), responsible for actively managing the overall portfolio of AI & Analytics initiatives across the organisation. This role offers the opportunity to shape the organisation\’s AI & Analytics strategy, driving the delivery of a diverse portfolio of AI & Analytics initiatives while owning the development and success of specific AI & Analytics products. Key Responsibilities Oversee the overall portfolio of AI & Analytics work, ensuring all initiatives align with organisational goals and deliver measurable value. Manage dependencies and prioritise initiatives within the AI & Analytics portfolio, balancing resources and timelines across workstreams. Collaborate with the AI Working Group and AI & Analytics COE Leadership to develop and refine the broader AI portfolio strategy Act as the primary interface between the AI & Analytics COE, business stakeholders, and delivery teams, ensuring expectations are aligned and requirements are clear Oversee the end-to-end delivery of AI & Analytics solutions, ensuring quality, timeliness, and adherence to budget Work closely with technical teams to ensure solutions are developed using best practices and align with AI governance and compliance standards. Requirements Knowledge, experience, skills and abilities Recognised qualification in AI or other relevant qualification such as CQF or Actuary Technical Good technical knowledge of AI concepts, including Gen-AI, Natural Language Processing (NLP), machine learning, and data science principles Familiar with AI/ML tools and frameworks such as PyTorch, TensorFlow, or Azure Machine Learning, understanding of data architecture and pipelines to enable seamless integration of AI solutions, MLOps practices, including CI/CD pipelines, model monitoring, and versioning Experience of delivering with the roll out and governance of Third Party provided AI tools Experience of enterprise-level AI governance, compliance, and risk management Experience of enterprise-level AI governance, compliance, and risk management Personal Experience in managing a portfolio of technology or AI initiatives, balancing priorities and resources Extensive experience in stakeholder management engaging with both technical and non-technical audiences Experience applying an analytical mindset with a focus on solving complex problems and delivering business value Experience managing multiple priorities and drive delivery in fast-paced Agile or Scrum environments Benefits In addition to a competitive base salary and the opportunity to participate in our annual, performance-related bonus plan, upon joining us here at Pension Insurance Corporation, you will get access to some great benefits, including private medical insurance, 28 days\’ annual leave (excluding bank holidays), a generous pension scheme and much more. 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AI & Analytics Product Manager employer: Pension Insurance Corporation plc
Contact Detail:
Pension Insurance Corporation plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI & Analytics Product Manager
✨Tip Number 1
Network with professionals in the AI and analytics field. Attend industry events, webinars, or local meetups to connect with people who work at Pension Insurance Corporation or similar companies. Building these relationships can give you insights into the company culture and potentially lead to referrals.
✨Tip Number 2
Familiarise yourself with the latest trends and technologies in AI and analytics. Being well-versed in tools like PyTorch, TensorFlow, and Azure Machine Learning will not only boost your confidence but also demonstrate your commitment to staying current in the field during discussions with potential employers.
✨Tip Number 3
Prepare to discuss your experience in managing AI initiatives and stakeholder engagement. Think of specific examples where you've successfully balanced priorities and resources, as this will be crucial in showcasing your fit for the role during interviews.
✨Tip Number 4
Research Pension Insurance Corporation's current AI and analytics projects. Understanding their existing portfolio will allow you to tailor your conversations and show how your skills and experiences align with their strategic goals, making you a more attractive candidate.
We think you need these skills to ace AI & Analytics Product Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI and analytics. Focus on specific projects you've managed, tools you've used, and the outcomes of your initiatives. Use keywords from the job description to align your skills with what Pension Insurance Corporation is looking for.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and analytics. Discuss how your background aligns with the role's responsibilities, particularly in managing portfolios and stakeholder engagement. Be sure to mention any experience with AI governance and compliance, as this is crucial for the position.
Showcase Technical Knowledge: Demonstrate your understanding of AI concepts and tools in your application. Mention specific frameworks like PyTorch or TensorFlow that you are familiar with, and provide examples of how you've applied these in past roles. This will show your technical competence and readiness for the role.
Highlight Stakeholder Management Skills: Since the role involves engaging with both technical and non-technical audiences, include examples of how you've successfully managed stakeholders in previous positions. Describe situations where you balanced priorities and communicated effectively to ensure project success.
How to prepare for a job interview at Pension Insurance Corporation plc
✨Showcase Your Technical Knowledge
Make sure to brush up on your understanding of AI concepts, especially Gen-AI, NLP, and machine learning. Be prepared to discuss specific tools like PyTorch or TensorFlow, as well as your experience with data architecture and MLOps practices.
✨Demonstrate Stakeholder Management Skills
Since this role involves engaging with both technical and non-technical audiences, be ready to share examples of how you've successfully managed stakeholder expectations in the past. Highlight your ability to communicate complex ideas clearly.
✨Prepare for Portfolio Management Questions
Expect questions about how you prioritise initiatives and manage dependencies within a portfolio. Have examples ready that illustrate your experience in balancing resources and timelines across multiple projects.
✨Emphasise Your Problem-Solving Approach
The interviewers will likely want to know how you tackle complex problems. Prepare to discuss your analytical mindset and provide examples of how you've delivered business value through innovative solutions in fast-paced environments.
