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Data Analytics Platform and Capability Lead
3 months ago
Job Title:
Data Analytics Platform and Capability Lead
Contract Type:
Permanent
Location:
Edinburgh, Glasgow, Nether Alderley
Closing date: 18th January 2023
Data Solutions Platform and Capability Lead is a senior role, within the Data Solutions leadership team, which owns the continuous development of the data solutions business and technical capabilities.
The role holder will work closely with the Head of Data Transformation and the Data Architecture team to define and execute a roadmap for our cloud analytics capability.
Now is a great time to be joining the data solutions team in this role as we strive to support the business making better data driven decisions, becoming an insight led modern mutual.
We are investing significantly in data capabilities and this will result in further growth and development opportunities.
Key responsibilities
Accountable for specifying the requirements of the analytics platform to support productionisation of data science models, bespoke analytics and BI products
Technical product leadership of the Cloud Analytics platform, interfacing with the business and technical product owners of the underlying Enterprise Data Platform (EDP) to influence direction and roadmap to ensure enablement of Analytics use cases
Accountable for setting technical standards for Data Solutions product development activity including: code management, documentation, product development lifecycle (PDLC)
Accountable for managing resource usage across the Cloud Analytics platform, and the associated budget (FinOps)
Responsible for the provision of a data product development environment that minimises time to value and cost to value, and maximises development productivity
Define and oversee development of a marketplace for data products, enabling producers to publish trusted data products and consumers to search, find and use data products
Criteria
Sound understanding of contemporary data engineering practices and tooling, data science model development process (including hypothesis definition, model training and test, and production engineering), and business intelligence product development (reqs mgt, dataset curation, UI design, productionisation)
Significant knowledge and experience of one or more cloud platform technology stacks e.g. Azure (preferred), AWS, GCP
Significant, demonstrable experience of productionising data products (ML models, productised datasets, business intelligence reporting and dashboards)
Good understanding of data management practices e.g. data quality management, data lineage, metadata management
Understanding of model risk management in the context of data science models
Experience of managing FinOps
A sound understanding of Cloud Analytics architecture (Lake, Warehouse and Lakehouse)
What we offer
We've always been proud to reward our employees by offering a number of great benefits including:
A generous group pension scheme (up to 14% matching employer contribution)
28 days annual leave plus bank holidays with the option to buy/sell up to 5 days
Annual company and performance based bonus
Life assurance (up to 8 x annual salary)
Enhanced parental leave policies
Private medical insurance
Employee Assistance Programme - Access 24/7 to confidential health, legal & financial advice
Full details can be found on our benefits page.
About Royal London
Royal London is the largest mutual life insurance, pensions and investment company in the UK.
Since its foundation 160 years ago, Royal London has supported millions of people to protect and provide for themselves and their families.
At Royal London, our People Promise is that we will all work somewhere inclusive, responsible, enjoyable and fulfilling.This promise has been at the heart of our approach to hybrid working, ensuing a balance of time working in our offices, supporting the culture of collaboration and inclusion and some working time from home, so we can all continue to benefit from the flexibility this brings.
Our hybrid working approach is built around our mutual mindset, thinking about what is good for us as individuals (the 'me') and in the context of what is right for our customers, our colleagues and The Royal London group (the 'we').
Together we belong- collaborate - learn and perform.
Our expectation is that colleagues working in hybrid roles will come into the office for 50% of their time, and the rest from home.
We want to be as consistent as we can with our approach but we also appreciate some colleagues need adjustments based on personal circumstances.
(e.g. to support a disability, or caring responsibility) and / or may wish to formally seek a flexible working pattern in line with our flexible working policy.We appreciate the world of work continues to evolve and we will co
