Master Data Maintenance Operations – Axial

Location : Mexico ( Hybrid position)

Fixed-Term Role for a Specific Project

Job Purpose: To coordinate and ensure the maintenance of master data for the data objects within the scope of Axial, for example: Materials, Customers, Suppliers, Batches, Production lines, Maintenance teams, etc.

Key Challenges:

Analytics Challenges

• Serve as the primary contact for analytics users interacting with the Axial program, ensuring their inquiries and needs are efficiently addressed.
• Assist in managing the deployment of Axial analytics and AI. Responsibilities include the maintenance and migration of users, preventing metric duplication, deprecating outdated analytics, and communicating the project roadmap effectively.
• Collaborate with users to assist in identifying and resolving any issues that may arise during the deployment and use of analytics.
• Assist in the local design reviews to ensure that analytics solutions meet user requirements and provide a satisfactory user experience.
• Work closely with analytics users across the site to facilitate and support the testing of analytics, ensuring they are functional and aligned with user expectations.

Data Challenges

• Ensure the integrity and management of Operation information for each existing flow inside and outside of Mexico.
• Interaction with the global team on new process developments and field definitions to be used.
• Support strategy for information download and data cleanup.
• Ensure the continuous flow of operations towards day 1.
• Information capture and table connection.
• Creation of dashboards to ensure data accuracy.

Principal Accountabilities:

Analytics Accountabilities

- Providing analytics users with a single point of contact into the Axial program.

- Ensuring that the deployment of Axial analytics and AI is well managed: users are migrated; metrics are not duplicated; old analytics are deprecated; the roadmap well understood. Assisting with issue resolution.

- Coordinating and delivering local design reviews to ensure that analytics meet user requirements and the UX is acceptable.

- Working with analytics users from across the site to facilitate testing of analytics.

Data Accountabilities

- Support the Site Delivery & Deployment Lead in the delivery of the Axial project

- Communicate regularly with the core data team

- Understand and communicate the data migration life-cycle processes

- Co-ordinate data cleansing/purging activities

- Co-ordinate data mapping

- Ensure extraction requirements are clearly communicated and executed

- Prepare tools for data collection and verification

- Develop tools for local data ETL (inc policies for manual loading as appropriate)

- Test data migration with the core team

- Clearly communicate and manage data frost/freeze

- Synchronise static/dynamic/manual data load activities with the core team

- Ensure all data verification steps are completed

- Manage any “day in life”/pre-prod data activities

Knowledge, skills and experience:

Analytics

Ops Analytics

Data and analytics architecture

Business analysis (requirements gathering)

Data

Good understanding of site data

Experience of managing people

Good communication skills

Working knowledge of cGMP /compliance

Working knowledge of the local business operations

Other requirements:

• 4 years of experience in Operations data.
• Advanced English.

AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law.

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 authorisation and employment eligibility verification requirements.