DATA PRODUCT DELIVERY LEAD

Introduction to Role.
Join our global IT capability supporting the Global Operations organisation at AstraZeneca.
Our work directly impacts patients, redefining our ability to develop life-changing medicines.
We combine pioneering science with leading digital technology platforms and data.
This is your chance to be part of a team that has the backing to innovate, reinvent an industry and change lives.
Adopt novel and varied challenges working across the business, and be connected to different functions, areas and roles.
We operate out of Operations hub sites including in the UK, Sweden, US, and China, and out of our Global Technology Centres in India and Mexico.
Accountabilities.
We are looking for a Data Product Lead to join our Data, Analytics & AI group for Operations IT.
This group supports various business areas such as Develop, Manufacture, Supply Chain, Quality and Procurement with data-driven solutions and insights.
You will play a pivotal role in crafting the creative vision for data products.
Your high-level expertise will drive the development and enhancement of data-driven solutions that empower our users and accelerate our journey into Artificial Intelligence.
You will be responsible for providing strategic vision for data products, championing data-driven decision-making and innovation, implementing data product strategies, ensuring quality assurance, and handling demand and requirements.
Typical accountabilities include.
Strategic Vision   Provide strategy for data products.
Assess and improve the maturity of data products enduring Performance Metrics are in place measuring data product efficiency.
Performance Metrics.
Define KPIs to measure product efficiency.
Championing Data-Driven Decision-Making Championing Innovation.
Champion data-driven decision-making and innovation using data products.
Data Product Execution   Workstream and Milestone Management Strategic Alignment Data Product Status Reporting Roadmap Development & Consumption Planning Support and Ingestion Demand and Requirements   Identify Domains and Data Products to meet use case requirements and map and understand which data products can be reused or what needs to be built, collaborating with the business.
Engage with Domains to articulate business demand ensuring the Domain Product Managers take ownership to drive forward.
Ensure the pods own and take accountability for their backlog and provide regular updates on progress.
Attend the quarterly demand planning session to understand future demand to connect with the delivery teams.
Resolves prioritization conflicts within domains (acts as co-ordination)  Quality Assurance   Collaborate closely with different domains and projects to ensure adherence to the data product operating model.
Verify that both business and IT teams understand the model’s principles and practices.
Supervise the consistency of data product delivery timelines across various domains and projects.
Identify deviations.
If one domain or project is now building data products in 1 week, investigate why others may deviate from this standard.
Engage with the scrum master during regular retrospectives.
Refine and enhance the ways of working (WoW) to improve efficiency and effectiveness.
Ensure velocity parity.
Collaborate to match the pace of work across different domains and projects.
Essential Skills/Experience.
A passion for technology and continuous improvement Shown experience in leading and developing teams in delivering Data Products A proven understanding of data mesh concepts An understanding of data management, Cloud computing (ideally AWS), and relevant technologies Critical thinking – understanding challenges, opportunities through evolving technology/methodology and formulating into tangible roadmaps with clear business value Leadership abilities, with a shown history of continually growing and motivating teams Effective communication and interpersonal skills High project management skills Bachelor’s or master’s degree in computer science, Information Technology, or a related field Desirable Skills/Experience.
Knowledge of the pharmaceutical industry, particularly around data requirements and compliance standards (GXP, GDPR, SoX etc) Experience in life sciences and healthcare When we put unexpected teams in the same room, we ignite ambitious thinking with the power to inspire life-changing medicines.
In-person working gives us the platform we need to connect, work at pace and challenge perceptions.
That’s why we work, on average, a minimum of three days per week from the office.
But that doesn't mean we’re not flexible.
We balance the expectation of being in the office while respecting individual flexibility.
Join us in our unique and ambitious world.
Why AstraZeneca? At AstraZeneca, we take data seriously.
We are driven by the impact we know we can have; our high ethical standards never slip.
This is the place where innovation meets large-scale impact.
We turn sophisticated information into life-changing and practical insights every day.
Here we are putting data at the heart of our processes at AstraZeneca.
We work on everything from building data solutions, modelling and structuring, to exploring and innovating with data.
Own the way as AstraZeneca works towards becoming a digital and data-led enterprise.
Ready to make a difference? Apply now to join our team! 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.