Master Data Product Manager

ASTRAZENECA UK LIMITED; Macclesfield; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading pharmaceutical company in the UK is seeking a Data Product Manager to drive data product management from inception to maturity. This role requires strong SQL proficiency, a Bachelor's degree in a relevant field, and excellent communication skills. The successful candidate will translate customer needs into data-driven products and engage with various stakeholders to ensure alignment and delivery. This position offers the chance to work in a dynamic team environment focused on innovative solutions.

Qualifications

• Proficiency in SQL for data querying and manipulation.
• Bachelor's degree or higher in technical discipline.
• Experience establishing and delivering product roadmaps.

Responsibilities

• Translate customer needs into actionable requirements.
• Create and manage data product roadmaps.
• Engage with stakeholders and communicate plans.

Skills

Proficiency in SQL

Experience in data management

Strong analytical abilities

Excellent communication skills

Leadership skills

Education

Bachelor's degree in Computer Science or related field

Tools

Python

SAP

DataOps.Live

Job description

Responsibilities

• Translate customer needs into actionable requirements as input into the design, build, and iteration of data products.
• Create, maintain, and own data product roadmaps, leading the ongoing delivery and management of the product from inception to maturity.
• Manage master data products through their lifecycle, including owning business metadata and metrics.
• Engage and collaborate with partners and collaborators to gather input and communicate plans, timelines, and deliveries.
• Act as a key point of contact for stakeholders and business leaders impacted by data products.
• Ensure all data products align with the AZ Data Product governance model, meeting business, technical, and regulatory requirements.
• Using SQL to query and manipulate data in our Operations Data Hub.
• Work with other Data Product Managers across the organization to ensure alignment with Enterprise standards & priorities alongside upskilling.
  Join our Global Operations Data Office and be part of a transformative journey that enables connected and sustainable supply chains and autonomous manufacturing. We aim to place pioneering science into the hands of patients using the latest technologies. Our focus is on creating maximum competitive advantage and outstanding patient and customer service by enabling full supply chain integration. This is an extraordinary opportunity for someone with good supply chain or manufacturing knowledge, combined with excellent data management experience, to drive transformative change across the organization., Understanding of the principles of Data Product Management, ideally having worked in a similar Data Product Manager role.

Qualifications

• Proficiency in SQL for data querying and manipulation.
• Bachelor's degree or higher in Computer Science, Data Management or other technical discipline.
• Familiarity with data engineering concepts such as ETL, data modelling, data lakes/databases, reference data, master data etc.
• Ability to understand data-related problems from Business/Product Teams and smoothly translate these into technical requirements with Data Engineering leads.
• Ability to work in fast-paced, dynamic environment and manage multiple streams of work simultaneously.
• Ability to gather and prioritise user requirements.
• Excellent leadership, communication, influencing, and partner management skills.
• Experience establishing, communicating, and delivering product roadmaps.
• Strong analytical and problem-solving abilities with the ability to make data-driven decisions.
• An interest in Master and Reference data curation.

Desirable Skills/Experience

• Experience with Python or other scripting languages for automating ETL.
• Experience with SAP, PAS-X, GQCLIMS, GPQS, TrakSYS data.
• Experience working in a global organization where partners and project teams are geographically dispersed.
• Proven experience in the pharmaceutical industry.
• Familiarity with data science, data visualisation, and reporting concepts.
• Experience with curating controlled vocabularies.
• Experience with DataOps.Live, Reltio, or Semaphore.

Culture & Working Environment

When we put unexpected teams in the same room, we unleash bold 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.