Data Ops Service Lead
Job Type: Full time
Data Ops Service Lead
Do you have expertise in, and passion for, Data? Would you like to apply your expertise to impact a company that follows the science and turns ideas into life changing medicines? If so, AstraZeneca might be the one for you!
AstraZeneca is a global, innovation-driven BioPharmaceutical business that focuses on the discovery, development and commercialisation of prescription medicines for some of the world’s most serious disease. But we’re more than one of the world’s leading pharmaceutical companies.
At AstraZeneca we’re dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There’s no better place to make a difference to medicine, patients and society. An inclusive culture that champions diversity and collaboration. Always committed to lifelong learning, growth and development.
ABOUT OUR DATA SCIENCE & ENGINEERING TEAM
A place to do important work. We connect across the whole business to power each function to better influence patient outcomes and improve their lives. Impactful and valuable, this is where you come to raise your profile
and do good for others. Play an increasingly crucial role in driving exciting transformation on our journey to becoming a digital and data-led enterprise. Unleash the power of our latest innovations in data, machine learning and technology to turn complex information into life-changing and practical insights. Work in alignment with leading experts in our specialist communities. Here we bring the brightest minds to bear, with access to pioneering techniques and the opportunity to be part of novel solutions. It’s up to us to drive the outcomes forward, inventing and building, expanding our knowledge to identify the next opportunity. An inclusive team, we bring together diverse areas – different functions as well as external partners. Pooling from an unrivalled source of knowledge, we share, learn and challenge. It powers us to decode business needs and apply our technical know-how to add greater value. Rise to the challenge of shaping the future of an evolving business in the technology space.
ABOUT THE ROLE?
Enterprise Data & AI Services (ED&AIS) is a central IT function accountable for enterprise strategy and standards in Data and AI engineering, enabling services, information data architecture as well as the delivery of data provisioning services and AI product delivery for the enterprise. The organization works closely with Data & AI delivery teams across Business Technology Groups (BTGs) and data governance teams from Line of Business (LoB)Data offices, supporting and enabling the build of the AstraZeneca Data Mesh products and analytical solutions.
It identifies enabling, horizontal services required across the estate and ensures effective easy to use services such as Cataloguing, Privacy, Unification, Profiling, Data Quality, Engineering Orchestration, AI Ops, Model Registries etc
It ensures, through Information Architecture, that the resultant data products are FAIR by design enabling effective re-use.
It supports functional data provision and data product delivery to LoB / BTG teams to functional and global standards and policies ensuring compliant and secure data assets (working with LoB Data Offices).
It leads the delivery of advanced AI products in NLP, Computer Vision, Recommendation Engines and Predictive Modelling, supporting BTG/LoB teams in tech solution selection, product build and the run of business critical AI solutions
It leads the strategy of and innovation in Data & AI technology for the enterprise, working closely with Enterprise Architecture and Tech Innovation teams
As the Data Ops Service Lead you will lead the strategy, roadmap, build and management of Enterprise Data Ops services which support data engineers in the movement & transformation of data. This will involve leading a team of data engineers working closely with Engineering teams across AZ to understand needs, map existing services, understand gaps, build and run services, consolidate services and where possible identify local innovation for global adoption. The role will work closely with Data & AI Architects in the development of end to end design patterns for data solutions, positioning re-usable services as building blocks in solutions.
You will work closely with technology vendors, understanding their capabilities and roadmaps and work to establish strategic and sustainable consumable AZ Data Ops services and make informed decisions as to when to buy or build services.
The focus will be the establishment of a set of high value, highly consumed, Data Ops services used by all data engineering teams, driving measurable step changes in Data Engineering efficiencies across AZ. You will also work other key enabling technical teams such as Infrastructure (compute & network), IT security to ensure an easy to use end to end service for data engineering teams to consume.
Provides strategic direction to teams of Data Ops Engineers in the delivery of their responsibilities.
Support data and analytics solutions through enterprise services.
Deliver robust, cost-effective, automated solutions to support frequently asked business questions/analytical demands.
Responsible for overseeing the development of engineering standards, roadmaps and blueprints that maximises current technology platforms and adapts to new data technology, working closely with Data Architects and Solution Architects.
Direct testing and quality assurance of new data and analytics and DataOps solutions, to ensure they are fit for release: code assurance, Unit and System Integration Testing performance tuning, data testing, release management control and support of production processes including their SLAs.
Oversee and manage the work of teams of Data Engineers, on and offshore, ensuring the quality of the delivery, guiding in standard methodology, problem-solving design/delivery challenges.
Direct teams to innovate and test new technologies with relevance to data and analytics, including proof of technology/value assessments and case development.
Responsible for data and analytics solution evaluation and selection decisions; buy vs build decisions, and project estimates which contribute to the creation of case and delivery plans.
Contribute to the continued development of Data Ops Engineering as a capability - training, tooling, ways of working, and operating model to optimise output and value.
Manage the relationship with key suppliers (technology and Engineering service providers).
Selection and implementation of data ops technologies and industry standard methodologies, in alignment with the Enterprise Architecture and Technology Innovation functions.
Maintain an on-going professional development in data and analytics technologies (and methodologies) to keep AstraZeneca current with advancing and changing data technology landscape and innovation.
Development and delivery of appropriate technology training programmes to ensure education and adoption – (i.e. AstraZeneca Data Engineering University).
Ensure strong working relationships with AstraZeneca data and analytics partner groups to develop an in-depth understanding of business priorities and early insight into changing needs in order to inform and shape demand.
ESSENTIAL SKILLS & EXPERIENCE REQUIRED?
- The role holder will possess a blend of design skills needed for Agile data development projects
- Proficiency in data engineer techniques and testing methodologies
- Proficiency in data development technologies
- Proficiency with data and application design patterns and processes
- Experience in reusing of metadata and prebuilt components from cataloguing tools
- Good commercial awareness and understanding of the external market for data-related technology and standard processes
- Demonstrate initiative, strong customer orientation, and cross-cultural working
- Exposure to Data Pipelines (Ingest & Store, Data Preparation, Discover & Present, Insight & Experience)
WHY JOIN IT?
We’re a network of entrepreneurial self-starters who contribute to something far bigger. There’s a diversity of expertise in our Technology group that’s unique to AstraZeneca – it allows us to dive deep into exploring new groundbreaking technology. We enable AstraZeneca to perform at its peak by delivering world-class technology and data solutions. Our work unlocks the potential of science. We optimise and evolutionise AstraZeneca by maximising efficiencies and finding new ways to drive productivity. From automation to data simplification. We’re not afraid to take ownership and run with it. Empowered with unrivalled freedom. A place to be open and transparent – we speak up, think creatively and share ideas. Our diverse contributions help us to make better decisions. But we have a constant drive to innovate, and an appreciation for high standards. It takes challenging the status quo tcontributeue in our ever-evolving environment. We love it here because put simply, we make a meaningful impact.
Technology at AstraZeneca is a home for purposeful disruptors!
SO, WHAT’S NEXT?
Are you already imagining yourself joining our team? Good, because we’d love to hear from you! Click the link to apply and we’ll be in touch as soon as we can.
WHERE CAN I FIND OUT MORE?
Our Social Media, Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/
Follow AstraZeneca on Facebook https://www.facebook.com/astrazenecacareers/
Follow AstraZeneca on Instagram https://www.instagram.com/astrazeneca_careers/?hl=en
Competitive salary & benefits on offer.
Close Date: 20/3/20233
AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.