Dataops and Data Observability Lead

**ABOUT ASTRAZENECA**

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 THE **OPERATIONS IT **TEAM**

Operations IT is a global IT capability supporting the Global Operations organisation. We business partner with Operations capability areas: Pharmaceutical Technology Development, Manufacturing & Global Engineering, Quality Control, Sustainability, Supply Chain, Logistics and Global External Sourcing and Procurement. 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.

Here our work has a direct impact on patients - transforming our ability to develop life-changing medicines. We empower the business to perform at its peak and lead a new way of working, combining cutting-edge science with leading digital technology platforms and data. All with a passion to impact lives through data, analytics, AI, machine learning and more.

It’s a dynamic and challenging environment to work in - but that’s why we like it. There are countless opportunities to learn and grow, whether that’s exploring new technologies in hackathons, or transforming the roles and work of colleagues, forever. This is your chance to be part of a team that has the backing to innovate, disrupt an industry and change lives.

**THIS IS WHAT YOU’LL DO**

We are looking for an Associate Director DataOps and Observability 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.

As the DataOps and Observability Lead, you will be responsible for leading the DataOps Team in expanding on our data product foundation. You will define the strategy, create the frameworks and standards, implement the automation managing the change management and ensure the continuous improvement of data-related workflows.

You will collaborate with stakeholders across AstraZeneca to improve the efficiency and visibility of data engineering processes and data products. You will enable our business and science teams to use data effectively ensuring the accuracy, completeness, consistency and reliability of data. You will lead a high-performing team to provide state-of-the-art DataOps and Data Observability services interacting with technologies such as Snowflake, Fivetran, dbt, Collibra and Data Quality tooling. This position requires both strategic vision and technical expertise to drive innovation in Data Engineering, Data Product Excellence and Data Management.

**Typical accountabilities include**:
**Leadership**
- Provide strategic leadership to a team of talented dataops engineers, fostering a culture of collaboration and innovation, and enabling people to be at their best.
- Guide the development, execution and implementation of a roadmap for DataOps & Data Observability services, aligned with organizational objectives.
- Accountable for overseeing change management activities which drive process efficiencies through DataOps platform enhancements.

**DataOps Platform**
- Oversee the design, implementation, and optimization of robust DataOps services and platforms to ensure efficient data processing, transformation, and storage across the organization.
- Collaborate with the data engineering team to optimize data workflows and ensure efficient data operations, regularly checking for continuous improvement and driving efficiencies & automation in data engineering.
- Collaborate with solutions architecture to ensure platforms design and infrastructure is scalable, secure and cost effective.
- Identify opportunities for innovation and promote initiatives to enhance the data platform's capabilities and efficiency.
- Create and maintain comprehensive documentation, including dataops processes, standard operating procedures, and best practices.
- Design, implement, and sustain a DataOps framework, facilitate cross-team collaboration, optimize processes & tools, leverage testing automation.
- Implement the CI/ CD Automation & DataOps in each of the Data Products in Optimum Delivery by producing a phased roadmap along with the Tools fitment.
- Create and maintain comprehensive active metadata management strategy to enable and accelerate DataOps, understanding how we use our data catalogue effectively.

**Data Observabi