Director Data Products, Platform Innovation & Adoption
About this opportunity
Lead the strategy, governance, innovation, adoption, and operations of Enterprise Data Products, AI-ready Data Foundations, Data Sharing, and Data & Analytics Platforms across Novartis. Drive the delivery of trusted, compliant, reusable, and interoperable data capabilities that accelerate Analytics, GenAI, Agentic AI, and digital transformation while maximizing business value. Partner across business, architecture, governance, engineering, security, and vendor ecosystems to scale enterprise data foundations and industrialize innovative platform capabilities, products, and accelerators.
Major AccountabilitiesDefine and execute enterprise data product, data sharing, and platform strategies aligned with Data Mesh, Lakehouse, AI, and enterprise architecture principlesLead platform innovation initiatives across Data, Analytics, Integration, GenAI, Agentic AI, Semantic Layer, Knowledge Graph, and automation technologies, driving incubation and industrialization of reusable capabilities.Establish AI-ready data foundations by enabling metadata management, data quality, lineage, observability, semantic context, and machine-readable data contracts.Drive enterprise data sharing and interoperability through data marketplaces, zero-copy sharing, federated access models, semantic standards, and governed data exchange architectures.Ensure governance, compliance, and risk management across data, analytics, integration, and AI platforms, embedding security, privacy, audit, and regulatory requirements into platform operations.Build strategic partnerships with business and technology stakeholders to align priorities, shape demand, guide roadmaps, and translate platform investments into measurable business outcomes.Drive adoption, evangelization, and value realization of enterprise data products and platform capabilities through stakeholder engagement, enablement programs, and performance measurement.Lead continuous improvement and vendor ecosystem management to enhance platform reliability, scalability, cost efficiency, operational excellence, and innovation outcomes.Minimum RequirementsBachelor's degree in Computer Science, Engineering, Information Technology, Data Management, or a related discipline; advanced degree preferred.15+ years of experience in Enterprise Data, Analytics, Integration Platforms, Data Products, Data Sharing, or Digital Platform environments.Proven experience in enterprise-scale solution architecture, platform transformation, product leadership, and technology innovationStrong expertise in Data Mesh, Data Lakes, Lakehouse architectures, Enterprise Data Products, and AI-ready data foundationsHands-on knowledge of data sharing frameworks, Data Marketplaces, Data Contracts, Semantic Layers, Knowledge Graphs, and federated governance modelsDemonstrated experience managing data governance, compliance, privacy, security, risk management, and regulatory requirements in complex organizations.Strong stakeholder management and leadership experience across business, technology, governance, and executive teams within global matrix organizationsExperience with modern data and AI ecosystems, including platforms such as Databricks, Snowflake, Collibra, Ataccama, Immuta, Reltio, Power BI, and GenAI/AI-ML technologiesWhy Novartis?Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us!Learn more here:https://www.novartis.com/about/strategy/people-and-cultureCommitment 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.Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here:https://talentnetwork.novartis.com/network
Job details
How this role compares
Computed from every other active Information Technology role in our database, not just this employer's listings.
We currently track 90 comparable Director Information Technology roles across 23 biopharma companies.
Salary context
32 of 90 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 90 comparable roles
+ 4 more countries
Seniority mix
90 of 90 peers have a known seniority level
Therapeutic area mix
1 of 90 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.