ВеликобританияData Product & Analytics Engineering Senior Manager
1 нед. назад
ВеликобританияSeniorHybrid
data architectureproduct managementanalytics engineering
Lead a team of Analytics Engineers to develop and deliver analytical data products and manage the data capabilities roadmap.
О компании
- About Moneybox At Moneybox, our mission is to give everyone the means to get more out of life. We're guided by our belief that wealth isn't about the money, it's about the means to more - more freedom, opportunities, possibilities, and peace of mind. Moneybox is an award-winning wealth management platform, helping over one and a half million people build wealth throughout their lives, whether they’re saving and investing, buying their first home, or planning for retirement. Job Brief We’re looking for a Data Product & Analytics Engineering Senior Manager to join the Data & Insight team on a permanent basis. This role is dedicated to lead a team of four Analytics Engineers and own the roadmap for the development of our analytical data products. You will be responsible for identifying, shaping and prioritising the data capabilities we need, orchestrating their delivery across multiple teams, and leading the Analytics Engineers who will design and implement them. This role combines Data Product Management, Analytics Engineering leadership and data architecture .
Обязанности
- Manage and develop a team of four Analytics Engineers across different levels of seniority.
- Provide technical direction, coaching and context while creating an environment where engineers retain ownership of solution design and implementation.
- Work with the team on modelling and architecture decisions, challenge proposed approaches, identify opportunities for reuse and simplification, and ensure solutions align with our target data architecture.
- Coach engineers at different levels, helping them improve not only their technical capabilities but also their understanding of business problems, architectural thinking and ownership of data products.
- Define and maintain a prioritised roadmap covering new data models, data marts, dimensions and attributes, governed metrics, and architectural improvements.
- Drive the transition towards more centralised and trusted data models, reducing duplicated transformation logic and creating reusable representations of core business entities, facts, dimensions, metrics and relationships.
- Take requirements from problem definition through discovery, architecture, prioritisation, delivery, quality assurance, adoption and ongoing ownership.
- Coordinate dependencies across Product Engineering, Data Engineering, Insights, Reporting and other teams. Ensure upstream changes and ingestion requirements are identified early enough to support downstream data delivery.
- Understand the underlying problem behind stakeholder requests and determine whether the right solution is a new attribute, metric, model, mart or enhancement to an existing data product.
Требования
- Someone comfortable building technical solutions as you are communicating them to non technical stakeholders
- A strong previously hands-on Data Engineer and/or Analytics Engineer.
- A clear communicator with experience translating business problems into scalable data products and technical requirements.
- Excited about fintech and the particular challenges that come with a regulated, app-first, long-consideration financial product.
- Comfortable with ambiguity and able to operate with autonomy in a fast-paced environment where the brief sometimes evolves mid-sprint.
Другое
- 5+ years of experience with data architecture and analytical data modelling.
- Experience with modern transformation frameworks such as dbt and cloud data platforms such as Databricks, Snowflake or equivalent.
- Experience leading, mentoring or technically guiding Data/Analytics Engineers.
- Understanding of the complete data lifecycle from source applications and ingestion through transformation, semantic modelling and consumption.
- Experience managing roadmaps and prioritising competing business, architectural and technical requirements.
- The ability to communicate comfortably with both engineers and senior business stakeholders.
- Knowledge of data quality, testing, lineage, documentation, ownership and governance practices.
- Experience working in a regulated industry, ideally financial services or fintech, with an understanding of how governance, controls and regulatory requirements influence data architecture and delivery.
- Experience with Databricks and dbt, particularly designing or evolving a centralised transformation/modelling layer.
- Experience managing dependencies across Product Engineering, Data Engineering and Analytics teams, particularly where delivery requires changes to upstream applications or event/data generation.