Data Management & Infrastructure Manager

Data Management & Infrastructure Manager

Full-Time 74000 - 88660 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Manage data governance and ensure quality across data assets in a hybrid role.
  • Company: Join Novartis, a leader in healthcare innovation and community impact.
  • Benefits: Enjoy competitive salary, bonuses, health insurance, and flexible working arrangements.
  • Other info: Be part of a diverse team committed to inclusion and professional growth.
  • Why this job: Make a real difference in healthcare by managing trusted data for impactful decisions.
  • Qualifications: Experience with Snowflake, SQL, and data governance principles required.

The predicted salary is between 74000 - 88660 £ per year.

Job Description Summary #LI-Hybrid

Location: London (The Westworks), United Kingdom with Hybrid Working (you must be able to work for 12 days per month in the office)

Relocation Support: This role is based in London, United Kingdom. Novartis is unable to offer relocation support.

The Data Management & Infrastructure Manager ensures the consistent application of data governance frameworks, standards, and lifecycle controls to enable trusted, compliant, and reusable data assets.

This role serves as a key coordination point between business and technical teams, supporting governance, data quality, and performance reporting.

The position drives alignment across stakeholders to ensure effective data usage and compliance across functions.

Job Description Major accountabilities

  • Support implementation of layered data architecture principles, including bronze, silver, and gold Medallion layers
  • Ensure data pipelines and curated datasets follow standards for quality, lineage, access control, reusability, and lifecycle management
  • Support governance and documentation of Snowflake data assets, including tables, views, schemas, stages, and curated datasets
  • Support documentation of data standards, business rules, and data architecture across ingestion, transformation, and aggregation processes
  • Ensure alignment with global data governance frameworks and collaborate with internal and technical stakeholders
  • Apply enterprise data governance standards across platforms, vendors, and use cases
  • Support role-based data access controls aligned with data privacy, compliance, and governance requirements
  • Manage data lifecycle governance, including tracking ingestion, transformation, usage, and archival of datasets
  • Monitor data quality controls (e. g., completeness, accuracy, timeliness) and support issue resolution
  • Act as a coordination and escalation point for data governance issues across stakeholders
  • Maintain governance documentation, including data dictionaries, lineage, and usage guidelines
  • Support reusability and scalability of datasets while preventing fragmentation across systems
  • Coordinate governance-related assessments and continuous improvement initiatives

Minimum Requirements

  • Experience with Snowflake or similar cloud data platforms is essential
  • Familiarity with Medallion architecture, including bronze, silver, and gold data layers
  • Understanding of SQL, ETL/ELT processes, data pipelines, and cloud data warehouse concepts
  • Pharmaceutical experience is highly desirable
  • Experience documenting data flows, tables, views, stages, lineage, and data quality controls
  • Bachelor’s degree in business, mathematics, statistics, analytics, engineering, or a related technical field
  • Experience in data governance, data management, analytics enablement, or related roles
  • Understanding of data governance concepts, including ownership, stewardship, and lifecycle management
  • Experience working with enterprise data platforms or analytics ecosystems
  • Strong stakeholder communication and collaboration skills
  • Ability to document and manage data definitions, lineage, and governance standards
  • Familiarity with compliance and governance requirements in regulated environments
  • Strong organizational and problem-solving skills
  • Commitment to Diversity and Inclusion

Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.

Why Novartis

Helping people with disease and their families takes more than innovative science.

It takes a community of smart, passionate people like you.

Collaborating, supporting and inspiring each other.

Combining to achieve breakthroughs that change patients’ lives.

Ready to create a brighter future together? https://www. novartis. com/about/strategy/people-and-culture

You’ll receive

  • Competitive salary
  • Short term incentive bonus
  • Pension scheme
  • Health insurance
  • 25 days annual leave
  • Flexible working arrangements
  • Employee recognition scheme
  • learning and development opportunities

Benefits and Rewards

Learn about all the ways we’ll help you thrive personally and professionally. Read our handbook (PDF 30 MB)

Skills Desired

  • Analytical Thinking
  • Brand Awareness
  • Business Analytics
  • Business Networking
  • Collaboration
  • Data Insights
  • Delivery Management
  • Digital Marketing
  • Digital Media
  • Email Marketing
  • Market Research
  • Media Campaigns
  • #J-18808-Ljbffr

Data Management & Infrastructure Manager employer: GB16 (FCRS = GB016) Novartis Pharmaceuticals UK Ltd.

At Novartis, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. Our commitment to employee growth is evident through comprehensive benefits, flexible working options, and a strong focus on diversity and inclusion, ensuring that every team member can thrive both personally and professionally while making a meaningful impact on global healthcare.

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Contact Details:

GB16 (FCRS = GB016) Novartis Pharmaceuticals UK Ltd. Recruitment Team

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We think you need these skills to ace Data Management & Infrastructure Manager

Communication Skills
SQL
Automation
Problem-Solving Skills
Python
Attention to Detail
Data Governance

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