At a Glance
- Tasks: Lead a dynamic team to deliver impactful data and analytics solutions.
- Company: Join AJ Bell, a forward-thinking financial services company.
- Benefits: Enjoy 27 days holiday, a generous pension scheme, and health perks.
- Other info: Hybrid working model with a supportive team culture and growth opportunities.
- Why this job: Make a real difference in shaping data strategies and insights.
- Qualifications: Proven experience in leading data teams and developing analytics strategies.
The predicted salary is between 60000 - 80000 £ per year.
Role Overview
As part of our continued growth and investment in our data and analytics capabilities we have an exciting opportunity for Senior Manager Data and Insights to join AJ Bell.
As the Senior Manager Data and Insights, you will play a pivotal role in leading the delivery of high-impact data, business intelligence solutions, and commercial and customer analytics that help inform and sharpen the AJ Bell D2C strategy.
This role sits at the heart of our business and you will act as a trusted partner and adviser to our senior management team along with colleagues from product, marketing, digital and UX, ensuring they have high-quality data and insight at their fingertips.
Key Responsibilities
- Leadership of a growing, high-performing team of data engineers, BI developers and analysts, coaching individuals and the team to deliver their best for the business.
- Fostering a culture of collaboration, innovation and continuous learning to drive professional growth and development within the team.
- Developing and delivering the D2C data strategy through consulting with stakeholders, ensuring our data architecture is robust, fit-for-purpose and scalable.
- Ensuring strong technical and business processes including documentation so that our data pipelines and data assets are robust, and that change is delivered in a governed and controlled manner and at the pace our stakeholders require.
- Setting out and delivering our reporting architecture, guiding the team to continuously improve our suite of dashboards, and rolling them out to the business, taking the lead on delivering self-service and improved data literacy across the division.
- Continuously evolving our dashboard suite in line with stakeholder feedback.
- Developing the analytics and insight roadmap, engaging with senior leaders across the business to ensure their immediate and longer-term needs are met.
- Acting as the data and analytics SME in critical projects and programmes, ensuring they are supported with time-critical, relevant and high-quality insights.
- Ensuring the team delivers high-quality analytics projects that are accurate and on time/on brief, with clear well-evidenced recommendations and actions in place.
- Working closely with D2C stakeholders (particularly Marketing and Product) to understand their plans and strategies, and to develop an operating model and plans for data and analytics.
- Leading engagement with central data and technology teams to deliver changes, align ways of working, and ensure cross-functional alignment.
- Continuously assessing our ways of working and roadmaps, proactively identifying opportunities for efficiency and innovation.
- Collaborating on projects, sharing best practice and agreeing on common ways of working across the AJ Bell data community.
- Ensuring compliance with regulatory requirements and industry standards related to data privacy, security and confidentiality, monitoring risks, and owning rectification of any data incidents.
- Supporting and enabling the business to achieve its regulatory requirements, including consumer duty.
- Required Experience & Skills
- Significant proven experience in leading and developing data, reporting and analytics teams in financial services or a highly regulated industry.
- Excellent long-term planning and short-term prioritisation skills, including effective communication and ensuring delivery of priorities.
- Experience of developing a data and analytics strategy and evidence of delivering against a prioritised roadmap.
- A track record of delivering highly scalable and robust data architecture, especially with real-time or near-real-time data and pipelines.
- Experience of working with diverse data sources across customer, transactional and external data, and across different cadences.
- Experience with third‑party data enhancement and marketing data sources such as Google Analytics (highly desirable).
- In-depth knowledge of cloud-based data architecture, database development and management.
- Previous experience with Snowflake (desirable).
- Best practice for systems and data governance, including development processes and documentation.
- Previous responsibility for business-critical data assets and platforms.
- Hands‑on experience and ownership of marketing automation platforms such as Salesforce Marketing Cloud, Braze, Marketo or Bloomreach (highly desirable).
- Proven understanding of GDPR and data governance, preferably in financial services.
- Demonstrable experience of developing and scaling a high-volume, complex reporting architecture and dashboard suite.
- Broad knowledge of business intelligence principles, approaches, and tools/platforms; Power BI preferred.
- Understanding of marketing and product performance metrics and approaches.
- Exposure to Google Analytics and user engagement tools and testing platforms such as Contentsquare, Apps Flyer, Optimizely (highly desirable).
- Experience of developing and applying robust AI-based approaches and LLMs to generate efficiencies.
- Extensive experience of small- and large-scale analytical project approaches encompassing data mining, summarisation, and presentation of impactful and insightful results.
- Excellent proficiency in data manipulation languages, particularly SQL, and ability to write complex queries and repeatable stored procedures.
- Experience in low-code solutions like DBT (desirable).
- Data storytelling and ability to condense complex analytics into clear narratives and actions for a range of technical and non-technical stakeholders.
- Practical experience of data science and predictive techniques such as regression modelling, cluster analysis, decision trees, etc. (desirable).
- Strong understanding of data and systems integration and data pipelines including development approaches.
- Understanding of marketing and communication technologies, and modern personalised marketing principles, particularly using CRM platforms and orchestration tools.
- Outstanding stakeholder engagement and management skills.
- Highly effective communication skills and comfortable working with both technical and non-technical teams.
- Proven ability to work effectively with multidisciplinary teams across technology, operations, product and marketing.
Benefits
- 27 days holiday, increasing with service.
- + buy/sell scheme + bank holidays.
- 8% pension with matched contributions.
- Discretionary bonus scheme.
- Share schemes (including free shares and BAYE).
- Health cash plan and discounted private healthcare.
- Free gym.
- Enhanced family leave (subject to qualifying criteria).
- Travel and bike loan schemes.
- Employee Assistance Programme.
- Regular social events including summer and Christmas parties.
- Learning and development opportunities tailored to you.
- Casual dress code.
- Friendly, supportive team environment.
- Working Arrangements
We offer hybrid working, with a minimum of 50% of your working time per month spent in the office.
This role can be based in London or Manchester.
For new starters, there is an initial period of full-time office working to help you settle in and build relationships.
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