Job Description

We are one purpose-led global organisation. The enablers and innovators, ensuring that we can fulfil our mission to push the boundaries of science and discover and develop life-changing medicines. We take pride in working close to the cause, opening the locks to save lives, ultimately making a substantial difference to the outside world.

AstraZeneca (AZ) is in a period of strong growth and our employees have a united purpose to make a difference to patients around the world who need both our medicines and the ongoing developments from our science. In this journey AZ must continue to work across borders and with partners and new colleagues in a fast and seamless way.

The ambition, size and complexity of the organisation, coupled with the opportunities afforded by new technology, has led the Board to approve a large scale transformation of the IT landscape by the replacement of current ERP (Enterprise Resource Planning) systems with one global solution.

Our current technology is used by more than 20,000 employees daily, is foundational to all AZ entities and is central to most core business processes. Yet this is not an IT or technology led programme, rather this provides the opportunity for real business transformation and to shape the way of working globally for many years to come. By the time of its completion this programme will impact every AZ product, every AZ supplier, every $ of cash collected from AZ customers and every external financial and internal critical metric report.

This programme requires the best. Whether it be the technical skills, business understanding or change leadership, we want to ensure we have the strongest team deployed throughout. The programme seeks to deliver a world class change programme that leaves all employees with a fuller understanding of their role in the end-to-end nature of our global company. This programme will provide AZ with a driven edge, to the benefits of its employees and patients.

The Analytics lead is part of the S/4HANA Data and Analytics Leadership team and has full end to end accountability to craft define and deliver the future analytics platform(s) that will support our S/4HANA case.

The role will work closely with business collaborators who will define their requirements and operating model. The challenge for the IT lead in analytics is to understand business requirements and translate them into a realistic IT delivery plan, where the requirements of the business are tensioned against the practicalities of delivering a technology platform and capability to support those requirements. This will be a partnership with the business to ensure the balance of requirements and AZ IT strategy and technology plans are met.

The creation of a single ERP system with standard data model and process creates superb opportunity in analytics. We can demonstrate maximum value from core applications ‘out of box’ reporting capability as well as make standard reports and analytics easier through common platforms and common operating models which up until now have been limited by our sophisticated ERP and by necessity complex analytics tools.

The Analytics Lead will be responsible for taking current IT enterprise analytics strategy and merging that with S/4 overall strategy to create an analytics road map which needs to integrate business requirements, operating model, business and IT capabilities and technology into a transformation map which will drive our work.

Once the road map is defined the analytics lead will build a project operating model and capability to deliver that road map through to project closure. A key part of the road map and delivery methodology must reflect the sophisticated position as we transition from current analytics methods into future state approach. Being able to continue with BAU reporting whilst also delivering progressive development of the future state platform through each S/4HANA release will be a key accountability for the analytics lead.

The Analytics lead will support the design and structure of data frameworks, solutions and applications that are designed, and developed for enterprise and functional purposes. This includes defining, demonstrating and extending standard AstraZeneca reference architectures, data models and design patterns. This includes:

Defining the analytics, data science, digital, and operational business use cases

Supporting the definition of common ingestion, curation, data design, and consumption patterns;

Assisting the explanation of modelling data structures for conform and consumption layers in line with DataOps

Support the meaning of Information architecture, models, ontologies, taxonomies standards and reusable designs.

Also includes leading all architectural alignment tasks during the lifecycle of a project and that they align with Information Standards and Enterprise Models in the Phase-end QA Checkpoints

Typical Accountabilities

Enterprise Data Accountabilities:

Responsible for working within the Enterprise Data Architecture Framework of defining, extending, managing, and benchmarking project against outstanding practices, models (logical, physical, semantic), standards, frameworks, and the overall Blueprint as owned by the Chief Data Architect.
Contribute to leaders of the overall Enterprise Data Strategy in partnership the AstraZeneca business functions, solution developments and functional project
Accountable for the alignment and evolution of the AZ information Architecture, Data Model, Taxonomy, Glossary and Ontologies and the application of those models in solution design and implementation
Responsible for ensuring compliance and governing ongoing architecture and technology innovation
Responsible for architecture and technology evangelization, architecture roadmap, and alignment
Responsible for developing and performing architecture, standard methodology, and technology education
Responsible for Architectural Governance across all DA disciplines

Delivery Related Accountabilities:

Responsible for selecting the accurate data architecture patterns to fulfil traditional reporting and analytics, data science, digital, and operational business use cases. This includes:
Providing project-level data architecture planning, design expertise and execution application on development projects, from technical designs and technology standards to Models and IA considerations.
Based on business requirements that resolves various types of data structure types needed for a project such as raw, conform, and consumption data layers. Leverages the structure model types such as 3rd Normal Form, denormalized, and dimensionalized structures
Providing project level support of Data Models, Metadata, Linage, Taxonomies, Ontologies and Information Architecture Best practice and design
Supports (or leads) in the development of Data Integration architecture and overall Data Integration design of a project
Approves the various artifacts ensuring enforcement of standard enterprise data element names, abbreviations, characteristics, and domains during the lifecycle of a project
Responsible for approving many of the project work to ensure compliance and reuse within Architectural Standards as defined by the Chief Data Architect.
In the context of S/4 responsible for overall delivery of analytics technology scope – coordinating with other IT and Business partners

Essential

Bachelors Degree or equivalent number of years of experience in a Computer Science or Data Management related field
Significant experience and knowledge within domain, Including S4 Embedded analytics and wider SAP analytic tools
Significant experience building and driving project plans and work to meet objectives
The role holder will possess a blend of data architecture, project management, analysis, and engineering skills
Experience in known industry architectural patterns
Understands cloud-based containerization strategies for hybrid cloud environments
Understanding the appropriate data structure and technology based on business use case
Experience in the use of data modeling technologies
Experience in Agile data definition scrums
Experience in the use of metadata cataloguing tools

Desirable

Post-graduate degree in MIS, Data Management
Significant experience in a data architect role with practical examples of crafting and providing data engineering blueprints that have been pragmatically and actually implemented

Why we love it

If your passion is science and you want to be part of a team that makes a bigger impact on patients’ lives, then there’s no better place to be. Here we truly understand science and apply it every day to strengthen and grow our pipeline.

So, what’s next?

Are you already imagining yourself joining our team? Good, because we can’t wait to hear from you.
Are you ready to bring new ideas and fresh thinking to the table? Brilliant! We have one seat available and we hope it’s yours.

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

Date Posted

01-Nov-2023

Closing Date

15-Nov-2023

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.