Women in data

We're dedicated to empowering women in the data profession. We’re partnered with Women in Data to provide mentorship and career development opportunities for our colleagues as well as partnering on initiatives to inspire and propel women in data roles. Read on to find out more about some of our women in data and AI at Royal London.
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Lindsay

Data Governance & AI Analyst

Lindsay’s route to working in data has been anything but direct having spent many years in finance roles across almost every industry – including retail, financial services, software, football and pharmaceuticals – before moving into procurement and eventually joining our Group Data Office. Nevertheless, each of these roles has shared a reliance on data, whether it's managing financial documents like balance sheets and invoices or analysing spending and due diligence for contract renewals.

Lindsay’s analytical background and experience with relevant policies, procedures and controls have built strong transferable skills and a solid understanding of quality data practices.

As a Data Governance & AI Analyst, Lindsay helps her business areas apply our Data Governance Framework to ensure policy compliance. She collaborates with stakeholders to interpret and implement data governance standards, translates business needs into technical requirements, and facilitates best practices like monitoring controls and mitigating data risk. All of this, alongside keeping up with the current regulatory environment means there’s never a dull day for the team!

Outside of work, Lindsay enjoys travelling, listening to her very eclectic music catalogue, dragging her husband along to gigs and walking the Cheshire countryside with her two cocker spaniels.

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Jennifer

Senior Data Management Analyst

Jennifer works in the Data Management Office at Royal London Asset Management, where she focuses on the creation and maintenance of securities and portfolios. She joined the team in 2022 bringing years of experience from the financial services industry.

Her role is dynamic and fast paced, involving the development of new processes, proactive problem solving, and dedicated support for internal stakeholders. In a rapidly evolving field, she remains committed to continuously building and enhancing her data-related skills.

Having worked across a range of teams, Jennifer recognises the importance of supporting colleagues in their development. She values contributing to team growth by helping others build their confidence and advance their capabilities.

Jennifer is a strong advocate for women in data and believes that diverse, inclusive teams drive better insights, reduce bias and contribute to stronger financial strategies overall.

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Raushanara

Senior Data Visualisation Engineer

Raushanara has over 20 years of experience as a data professional, spanning sectors including telecommunications, retail, automotive, professional services and financial services. She has delivered numerous strategic systems transformation programmes and large-scale data migrations. She is highly skilled in SQL, data warehousing, Azure and Power BI.

As a part-time female Senior Data Visualisation Engineer from an ethnic minority background, Raushanara represents multiple under-represented groups in the technology sector and is passionate about improving representation for others.

Most roles with non-traditional working patterns are held and often required by women. Because of this, organisations need to recognise and clearly communicate their support for flexible working from the outset if they want to attract more women applicants and drive meaningful change. One practical step she advocates for is ensuring job advertisements explicitly state that all forms of flexible working are welcomed, including part-time, term-time and job-share arrangements – and that organisations genuinely follow through on these commitments.

She hopes that by sharing her story – even through a brief profile – she might inspire someone, perhaps even one woman, to pursue a qualification or take their first step towards a career in data.

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Tabitha

Enterprise Leadership Graduate

Tabitha joined Royal London in September 2025 after completing her Economics degree. She’s currently on the Enterprise Leadership Graduate Scheme, with her first rotation in the Group Data Office, focusing on how AI and automation can enhance underwriting.

As part of her placement, she developed a Copilot agent that retrieves key rules from our Underwriting Guide, helping underwriters quickly access the information they need without searching through documents. She’s also building her technical skills through our Data & AI Academy, learning SQL, Power BI and prompt engineering.

Since joining, Tabitha has gained exposure to exciting, high‑impact projects and has been inspired by the pace of innovation across the organisation. She’s passionate about using data and AI to solve real business challenges and hopes to encourage other women in their early career to explore opportunities in this growing space.

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Zoe

Senior Business Data Analyst

Zoe is a Senior Business Data Analyst with nearly 21 years’ experience at Royal London, having built her career through a variety of business and data‑focused roles. Over that time, she has developed a deep understanding of how organisations work and how data can be used effectively to support better decisions.

Throughout her career, Zoe has worked closely with a wide range of stakeholders, translating business needs into meaningful insights. Her strength lies in understanding the real‑world context behind the data – recognising risks, limitations and opportunities, and ensuring insights are both relevant and actionable.

Alongside this, Zoe has continued to grow her technical capability, developing her skills in areas such as SQL and data visualisation to strengthen how insights are delivered and communicated.

Zoe is passionate about sharing her journey to encourage more women to consider careers in data. She’s keen to challenge the misconception that you need a technical background or formal qualifications to succeed in this field. Through her own experience, she hopes to show that many different skillsets – such as communication, problem‑solving and business understanding – are just as valuable, and that technical skills can be learned with the right support and opportunities.

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Nusra

Senior Data Governance Analyst

Nusra is a Senior Data Governance Analyst at Royal London Asset Management, where she focuses on ensuring data is accurate, well defined and trusted across the organisation. She joined Royal London Asset Management in 2020 as a trainee analyst and has since progressed into a senior role, reflecting the breadth of opportunities available within data to learn, grow and build a long‑term career. Her passion for data developed during Economics with Econometrics degree, where she began to see how data can shape meaningful decision making, from influencing economic policy to supporting organisations in making informed decisions.

Through her work in Data Governance, Nusra has contributed to the embedding of data governance policies, the establishment of trusted metadata and data quality processes, and the strengthening of regulatory compliance, including GDPR. What matters most to Nusra as a data professional is building trust in data and ensuring it’s used responsibly. She believes this enables confidence in the data, leading to positive outcomes for both the organisation and its clients.

With data being a diverse and evolving field, Nusra encourages women considering a career in data to remain curious and open to learning, particularly in the early stages of their careers.

If our colleagues’ stories have inspired you and you feel like Royal London could be the place for you, explore the roles on offer and more.