Data Steward, Manager

at  AstraZeneca

Would you like to be a part of a Data Science & Artificial Intelligence (DS&AI) group that has direct strategic impact on drug development, playing a key role in getting medicines to patients?
At AstraZeneca, we are constantly pushing the boundaries of science to deliver life-changing medicines to patients, with a real passion for discovery and a pipeline to show for it. Here, you’ll have the opportunity to make a difference in people’s lives every single day.

AstraZeneca is investing in data management and analysis capabilities, through its long-term Growth Through Innovation Strategy. The DS&AI team collaborates across R&D to drive innovation through data science and AI. Together we seek to:

• Improve our understanding of disease and uncover new targets
• Transform R&D processes
• Speed the design and delivery of new medicines for patients

This is the place that’s investing in the latest technology, data and innovative ways of working. Here you’ll be backed with everything you need to be at the forefront of digitising our organisation. Whether that’s working on the leading-edge, defining the future of Pharma or upskilling yourself in our Digital and Data Academy.
The R&D Data Office, within DS&AI, is a key organization to deliver upon AstraZeneca’s strategy. Data Office operates a central capability, with R&D wide accountability, to ensure that we harness the power of data to drive innovative science. Data Office will govern data, drive data quality and ensure our data is readied for analytics, creating paved-paths for scientists to perform data-driven research, without compromising our legal restrictions or ethical principles.
Within Data Office, you will work in the Reference and Master Data team. The team owns the development, deployment and subsequent oversight of the end-to-end process of stewarding, curating and provisioning quality Reference and Master data. Our mission is to support R&D users with the highest quality of Reference and Master Data within the rigor of the appropriate compliance framework.
Data Steward, Manager is a role dedicated to managing R&D Master Data. This role will maintain and oversee master data according to the Business Operating Model. This role supports business implementation and enhancement activities for existing or new master data as per the project plan. This role manages team workload and ensures all goals are achieved as per plan. This is a more scientific role, rather than IT. An understanding of drug development processes is required.

As Data Steward, Manager, you will be accountable for:

• Maintaining and oversight master data in the MDM system as per the approved Data Stewardship Operating Model
• Acting as the primary point of contact for change/challenge or potential impact on data and collaborating with relevant data groups
• Ensuring that access to sensitive data is restricted to only the proper business stakeholders using approved access protocol
• Establishing data-quality metrics and requirements, including defining the values, ranges, and parameters that are acceptable for each critical data element thus -
• Assuring quality of and therefore raising trust in master data among users
• Delivering Data Risks and Issues Management
• Ongoing and detailed evaluation of data quality, the identification of anomalies and discrepancies, and the contribution of expertise to understand the root cause and implement corrective measures
• Assuring that master data are GxP maintained by managing E2E business validation during cycle and off-cycle system releases
• Monitoring the lifecycle of the master data
• Contributing to process and SME expertise to designing, embedding and ensuring compliance with and subsequent optimization of:
• Policies and procedures for the day-to-day operational and administrative management of systems and data as well as
• Data Stewardship Operating Model
• Co-ordinating responses and action to reported Information Incidents and escalating to Delegate Data Owner if further action/resolution is required
• Closely collaborating with Data Domain Lead to:
• Implement and embed standards
• Comply with Enterprise D&IG Global Standards
• Document, review and approve data asset data flow
• Identify, define and agree on critical data
• Support development of Data Quality Dashboard to monitor data quality
• Managing relationships with key business stakeholders
• Acting as an advocate and thought leader of data, educating relevant AZ communities and keeping a pulse on new best practices and technology. Identifying and capitalizing on opportunities to raise data literacy, culture and awareness
• Facilitating development and consistent use of
• Data Standards and Procedures
• Standard MDM-related definitions
• Data Resources
• Providing insights into how and where teams can use data to help in day-to-day decision-making
• Providing expert knowledge (including internal and external standards) and proficiency in understanding and usage for a given master domain
• Leading BAU activities/team workload management
• Ensuring that Business and Strategy goals are delivered on time with required quality

ESSENTIAL REQUIREMENTS

• Proven experience in the pharmaceutical/healthcare industry
• Understanding of ISO IDMP standards
• Good understanding of the Product/Substance data flow infrastructure and connections between different systems
• Good understanding of all functions involved with management of Pharmaceutical Product/Substance and their key systems and processes
• Understanding of E2E Pharmaceutical Product/Substance development process with a key focus on CMC and regulatory aspects
• Process focused
• Ability to learn new tools and technologies
• Leadership skills, including the ability to solve problems that involve many decision makers, and develop multiple options/recommendations
• Networking skills, ability to interact widely and effectively within the company (on both an interdepartmental and interdisciplinary basis)
• Excellent verbal and written communication skills and ability to build strong relationships with Pharmaceutical Product Stakeholders
• Demonstrate strong, communication and relationship building skills with experience in collaborating and sharing knowledge between teams
• Problem-solving skills
• Business acumen and technical analysis skills
• Good understanding of database structures

DESIRABLE REQUIREMENTS

• Experience in technology implementation
• Experience in process development
• Cross-Departmental knowledge
• Good understanding of database structures
• Experience with clinical data curation and familiarity with industry standards
• Good Understanding of Master and Reference Data management
• Operational understanding of common data models, data standards, vocabularies, ontologies, etc. and their implementation within a centralized repository
• Good facilitator, communicator, negotiator, and enforcer
• Experience in data warehousing, data modeling, data profiling, and relational databases
• Understanding external and internal Compliance regulations ensure that data is well organized and maintained, safeguarded against theft or misuse.

• Maintaining and oversight master data in the MDM system as per the approved Data Stewardship Operating Model
• Acting as the primary point of contact for change/challenge or potential impact on data and collaborating with relevant data groups
• Ensuring that access to sensitive data is restricted to only the proper business stakeholders using approved access protocol
• Establishing data-quality metrics and requirements, including defining the values, ranges, and parameters that are acceptable for each critical data element thus -
• Assuring quality of and therefore raising trust in master data among users
• Delivering Data Risks and Issues Management
• Ongoing and detailed evaluation of data quality, the identification of anomalies and discrepancies, and the contribution of expertise to understand the root cause and implement corrective measures
• Assuring that master data are GxP maintained by managing E2E business validation during cycle and off-cycle system releases
• Monitoring the lifecycle of the master data
• Contributing to process and SME expertise to designing, embedding and ensuring compliance with and subsequent optimization of:
• Policies and procedures for the day-to-day operational and administrative management of systems and data as well as
• Data Stewardship Operating Model
• Co-ordinating responses and action to reported Information Incidents and escalating to Delegate Data Owner if further action/resolution is required
• Closely collaborating with Data Domain Lead to:
• Implement and embed standards
• Comply with Enterprise D&IG Global Standards
• Document, review and approve data asset data flow
• Identify, define and agree on critical data
• Support development of Data Quality Dashboard to monitor data quality
• Managing relationships with key business stakeholders
• Acting as an advocate and thought leader of data, educating relevant AZ communities and keeping a pulse on new best practices and technology. Identifying and capitalizing on opportunities to raise data literacy, culture and awareness
• Facilitating development and consistent use of
• Data Standards and Procedures
• Standard MDM-related definitions
• Data Resources
• Providing insights into how and where teams can use data to help in day-to-day decision-making
• Providing expert knowledge (including internal and external standards) and proficiency in understanding and usage for a given master domain
• Leading BAU activities/team workload management
• Ensuring that Business and Strategy goals are delivered on time with required qualit