Senior Director, Data & AI Products & Solutions

Novartis

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
East Hanover, NJ
Salary
$194,600–$361,400 / yr
Employment
Full-time
Posted
3 days ago
Freshness
Confirmed live yesterday
Closes
Nov 12, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $241k
This role $278k
$163k $383k
below market most similar roles pay here above market

This role pays more than 75% of similar roles. Most pay $204,862–$277,700 — the blue band above. At the midpoint, this role pays about $278k versus about $241k for comparable roles.

Based on 240 similar postings.

Employer

About Novartis

Novartis is a global biopharmaceutical company that researches, develops, manufactures, and markets prescription drugs in areas including oncology, immunology, neuroscience, and cardiology. Industry: Biopharmaceuticals

Novartis currently has 19 open roles on FindRole.

Listed pay typically runs $176,400–$327,600 across 19 roles with salary data.

Most-posted roles

View all roles at Novartis

At a glance

TL;DR · Senior Director, Data & AI Products & Solutions

Senior Director, Data & AI Products & Solutions will lead the strategy and delivery of scalable data, analytics, and Artificial Intelligence solutions. Joining the data products management team, this leader will oversee a complex portfolio of strategic programs, moving innovative ideas from rapid prototyping through enterprise adoption. Key responsibilities include building product roadmaps, mentoring high-performing teams across engineering and analytics, and driving agile delivery while ensuring data privacy and security. The role requires expertise in machine learning, deep learning, natural language processing, and advanced analytics. Candidates must demonstrate proficiency with cloud and data platforms including Amazon Web Services, Microsoft Azure, Google Cloud Platform, Snowflake, or Databricks. This position solves the business problem of transforming complex requirements into measurable outcomes through sustainable enterprise products and intelligent automation.

What you'll do

  • Shape and deliver enterprise data, analytics, and Artificial Intelligence strategies aligned with business priorities.
  • Lead Data and AI products from rapid prototyping through launch, adoption, and measurable outcomes.
  • Build product and service roadmaps spanning engineering, technology adoption, security, compliance, and business transformation.
  • Scale emerging technologies from experimentation into sustainable enterprise products and services.
  • Lead and mentor high-performing teams across engineering, product management, solution delivery, and analytics.
  • Accelerate innovation across machine learning, deep learning, natural language processing, and intelligent automation.
  • Guide critical service, platform, investment, and architecture decisions with technology leadership.
  • Drive agile delivery while embedding data privacy, security, governance, and responsible practices.

What we're looking for

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative discipline.
  • 15+ years of progressive experience across data products, analytics, and Artificial Intelligence.
  • 5+ years of experience in senior leadership roles.
  • Proven success leading enterprise-scale Data and Artificial Intelligence products from strategy and roadmap through delivery and adoption.
  • Strong product management expertise, including prioritization, lifecycle management, stakeholder alignment, and outcome-focused execution.
  • Deep understanding of data architecture, data governance, security, advanced analytics, machine learning, and Artificial Intelligence frameworks.
  • Experience with cloud and data platforms such as Amazon Web Services, Microsoft Azure, Google Cloud Platform, Snowflake, or Databricks.
  • Experience leading Data and Artificial Intelligence transformation within large, complex, technology-driven global organizations (preferred).

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