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Product Owner - Generative AI Content at Royal London
Edinburgh, United Kingdom


Job Descrption

Job Title: Product Owner – Generative AI Content

Contract Type: 12 Months FTC

Location: Edinburgh, London or Alderley Edge   

Working style: Hybrid 50% home/office based

Closing date:  12 March 2024

 

Would you like to be part of a company who is driven by our purpose to protect the standard of living of this and future generations?

 

Being customer owned means that we always work in their best interest and when the business does well, they get a share of our profits.  We want to deepen relationships with our customers and the skills of talented marketing, communications and digital specialists are an essential part of achieving that. 

 

Would you like to lead a project that is truly pioneering the use of Generative AI in an ethical and responsible way to drive operational efficiency?

 

Your key purpose is to lead the development of a Generative AI powered solution that enables Brand & Marketing to transform their content operations and enables Royal London to meet their regulatory requirements in a safe and ethical way. The project will use Generative AI to improve operational efficiency within B&M to create the scale & capacity to be compliant for all communications across the group and ultimately deepen customer engagement.

 

About the role

 

  • You will lead an agile team across B&M, GDO, GTC and third-party suppliers responsible for developing and implementing a generative AI solution in a phased approach, ensuring product strategy and deployment of Gen AI is in line with Royal London’s AI ethics and governance principles
  • You will work closely with B&M SMEs, Risk, Cyber Security, Data, Architecture, Transformation and other relevant areas of the business to successfully deliver the project on time and within budget.
  • Ensure the Gen AI product development aligns with Royal London’s MarTech strategy and other transformation initiatives across the group.
  • Use understanding of and industry knowledge to drive the business design, input to the technical design and be central to the shaping of the go forward operating model required for the effective launch and embedding of Generative AI.

 

About you

 

  • Domain knowledge - in-depth knowledge of marketing operations with a focus on the end-to-end content creation and compliance process within Royal London or other Financial Services businesses.
  • Technical Literacy and understanding of AI and Generative AI - possess a basic knowledge of Generative AI concepts to effectively communicate with technical teams and a willingness to learn as the technology matures.
  • Data Management -understanding data requirements and implications for Generative AI solutions.
  • User-Centric and Strategic Design - ensuring the Generative AI solution meets user and business needs.
  • Change management - an ability to apply a strategic consultancy mindset to drive change
  • Commercial acumen - ability to translate business objectives (OKRs) into product requirements and prioritise them based on business value

 

About Royal London

 

We’re the UK’s largest mutual life, pensions and investment company, offering protection, long-term savings and asset management products and services.   

 

Our People Promise to our colleagues is that we will all work somewhere inclusive, responsible, enjoyable and fulfilling. This is underpinned by our Spirit of Royal London values; Empowered, Trustworthy, Collaborate, Achieve. 

 

We've always been proud to reward employees by offering great workplace benefits such as 28 days annual leave in addition to bank holidays, an up to 14% employer matching pension scheme and private medical insurance. You can see all our benefits here - Our Benefits  

 

Inclusion, diversity and belonging 

 

We’re an Inclusive employer. We celebrate and value different backgrounds and cultures across Royal London. Our diverse people and perspectives give us a range of skills which are recognised and respected – whatever their background. 

 


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ROYAL LONDON
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