Analytics Director Jobs
Analytics Director jobs are open across technology, financial services, healthcare, retail, and media, from senior manager to VP level, with specializations in marketing analytics, data strategy, and business intelligence. Find a role that fits from the openings below and apply directly.
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Summary
Novartis has an exciting opportunity for a Director, Analytics Engineering. This role is responsible for building next-generation, AI-powered automated data pipelines and scalable data repositories that enable enterprise data science and analytics at scale. By leveraging advanced AI technologies, modern data engineering tools, and feature engineering platforms, this director creates self-service, analytics-ready datasets and enterprise feature stores that empower both expert data scientists and citizen data scientists to rapidly develop, deploy, and scale models.
This position can be based remotely anywhere in the U.S. (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager. This position will require 20% travel.
There are 2 positions available.
About the Role
Major accountabilities:
- Design and implement intelligent, self-healing data pipelines that leverage AI/ML for automated data quality monitoring, anomaly detection, and remediation.
- Build and maintain centralized feature stores that enable feature reusability across multiple models and use cases.
- Create curated data repositories optimized for data science/AI workflows, including training datasets, evaluation datasets, and production serving layers.
- Develop automated feature engineering pipelines that transform raw data into analytics-ready features with lineage tracking.
- Partner with Enterprise IT to optimize analytics platform architecture for high-performance data science workloads.
- Build automated pipelines that integrate diverse data sources including sales, CRM, patient claims, real-world evidence, and unstructured data.
- Create self-service data access layers that empower data scientists and analysts to query and extract data independently.
- Establish SLAs for data availability, freshness, and quality; implement monitoring and observability solutions.
Essential Requirements
- Advanced degree in Computer Science, Data Engineering, or related field;
- 7+ years of experience in data engineering, ML/AI engineering, or analytics infrastructure.
- 5+ years leading teams building enterprise-scale data platforms and feature stores.
- Expert knowledge of feature store technologies (Feast, Tecton, SageMaker Feature Store, Databricks Feature Store).
- Deep expertise in modern data platforms optimized for ML workloads (Databricks, Auto ML, Snowflake, BigQuery).
- Strong proficiency in Python, SQL, Spark/PySpark for large-scale data processing.
- Experience with data orchestration tools (Airflow, Prefect, dbt) and CI/CD for data pipelines.
- Understanding of data governance, privacy (HIPAA, GDPR), and compliance in life sciences.
Preferred Qualities
- Proven track record of implementing AI/ML-powered automation in data engineering workflows.
- Strategic thinker who can balance innovation (cutting-edge AI tools) with reliability (production stability).
- Builder mindset with ability to create scalable, self-service capabilities that reduce dependency on data engineering.
- Experience in pharmaceutical, healthcare, or life sciences industry.
- Knowledge of streaming technologies, MLOps tools, and data lakehouse architecture.
Novartis Compensation Summary:
The salary for this position is expected to range between $194,600 and $361,400 per year.
The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.
Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.
US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.
To learn more about the culture, rewards and benefits we offer our people click here.
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
Benefits and Rewards: Learn about all the ways we’ll help you thrive personally and professionally.
Read our handbook (PDF 30 MB)
EEO Statement:
The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.
Accessibility & Reasonable Accommodations
The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to us.reasonableaccommodations@novartis.com or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
Summary
Novartis has an exciting opportunity for a Director, Analytics Engineering. This role is responsible for building next-generation, AI-powered automated data pipelines and scalable data repositories that enable enterprise data science and analytics at scale. By leveraging advanced AI technologies, modern data engineering tools, and feature engineering platforms, this director creates self-service, analytics-ready datasets and enterprise feature stores that empower both expert data scientists and citizen data scientists to rapidly develop, deploy, and scale models.
This position can be based remotely anywhere in the U.S. (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager. This position will require 20% travel.
There are 2 positions available.
About the Role
Major accountabilities:
- Design and implement intelligent, self-healing data pipelines that leverage AI/ML for automated data quality monitoring, anomaly detection, and remediation.
- Build and maintain centralized feature stores that enable feature reusability across multiple models and use cases.
- Create curated data repositories optimized for data science/AI workflows, including training datasets, evaluation datasets, and production serving layers.
- Develop automated feature engineering pipelines that transform raw data into analytics-ready features with lineage tracking.
- Partner with Enterprise IT to optimize analytics platform architecture for high-performance data science workloads.
- Build automated pipelines that integrate diverse data sources including sales, CRM, patient claims, real-world evidence, and unstructured data.
- Create self-service data access layers that empower data scientists and analysts to query and extract data independently.
- Establish SLAs for data availability, freshness, and quality; implement monitoring and observability solutions.
Essential Requirements
- Advanced degree in Computer Science, Data Engineering, or related field;
- 7+ years of experience in data engineering, ML/AI engineering, or analytics infrastructure.
- 5+ years leading teams building enterprise-scale data platforms and feature stores.
- Expert knowledge of feature store technologies (Feast, Tecton, SageMaker Feature Store, Databricks Feature Store).
- Deep expertise in modern data platforms optimized for ML workloads (Databricks, Auto ML, Snowflake, BigQuery).
- Strong proficiency in Python, SQL, Spark/PySpark for large-scale data processing.
- Experience with data orchestration tools (Airflow, Prefect, dbt) and CI/CD for data pipelines.
- Understanding of data governance, privacy (HIPAA, GDPR), and compliance in life sciences.
Preferred Qualities
- Proven track record of implementing AI/ML-powered automation in data engineering workflows.
- Strategic thinker who can balance innovation (cutting-edge AI tools) with reliability (production stability).
- Builder mindset with ability to create scalable, self-service capabilities that reduce dependency on data engineering.
- Experience in pharmaceutical, healthcare, or life sciences industry.
- Knowledge of streaming technologies, MLOps tools, and data lakehouse architecture.
Novartis Compensation Summary:
The salary for this position is expected to range between $194,600 and $361,400 per year.
The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.
Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.
US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.
To learn more about the culture, rewards and benefits we offer our people click here.
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
Benefits and Rewards: Learn about all the ways we’ll help you thrive personally and professionally.
Read our handbook (PDF 30 MB)
EEO Statement:
The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.
Accessibility & Reasonable Accommodations
The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to us.reasonableaccommodations@novartis.com or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
Analytics Director Jobs by Experience Level
Top Cities Hiring Analytics Directors
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Find Analytics Director JobsAnalytics Director Job Market
Who's Hiring
- CVS Health16
- Vail Resorts16
- AbbVie11
- JPMorganChase8
- Revolution Medicines8
Top Industries Hiring
- Biotechnology & Pharmaceuticals31
- Technology & Software22
- Insurance11
- Education9
- Healthcare & Medical Services8
What Employers Look For
The qualifications that appear most often in analytics director jobs.
- 7+ years of analytics experience with at least 3 years in a leadership role
- Proficiency in SQL and at least one programming language such as Python or R
- Experience with BI platforms such as Tableau, Looker, or Power BI
- Bachelor's or master's degree in statistics, mathematics, computer science, or a related field
- Demonstrated ability to translate data insights into executive-level business strategy
- Experience building and managing analytics teams of five or more people
Tips for Your Analytics Director Job Search
Quantify business impact on your resume
Analytics director hiring managers want revenue influenced, cost reduced, or decisions accelerated by your work. Replace descriptions of tools you used with outcomes you drove, forecasting accuracy improvements, experiment velocity gains, or reporting cycles cut by measurable amounts.
Show your stakeholder influence in writing
Most analytics director candidates undersell the cross-functional side of the role. Add a short section or bullet set highlighting executives you advised, org-wide decisions you shaped, or data cultures you built from scratch at previous employers.
Target industries where your domain data fits
Analytics fluency is not fully portable across domains. A strong retail analytics background translates well to e-commerce and consumer goods but will get screened out in financial risk or clinical analytics. Filter openings by the vertical where your metrics vocabulary is strongest.
Apply early to roles that fit
Migrate Mate lists analytics director openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a case study for the panel interview
Analytics director loops almost always include a strategy presentation or analytical case. Prepare one example end-to-end: business question, data approach, trade-offs you navigated, and the decision you enabled. Practice presenting it in under twelve minutes with time for questions.
Negotiate scope before negotiating title
When you reach the offer stage, clarify what team size, tooling ownership, and executive access come with the role before discussing compensation. Analytics director roles vary widely in actual authority, and scope mismatches are the leading reason new directors leave within eighteen months.
Analytics Director Jobs: Frequently Asked Questions
Which companies are hiring the most analytics directors?
The companies hiring the most analytics directors right now include CVS Health, Vail Resorts, and AbbVie, with the largest share of openings in California, New York, and Illinois, based on current listings on Migrate Mate as of September 2026. Demand is consistently strong in technology, financial services, and healthcare.
How many analytics director jobs are remote?
About 71% of analytics director openings are fully remote or hybrid as of September 2026, making it one of the more flexible director-level functions in data and technology. Roles focused on self-serve reporting infrastructure and marketing analytics tend to carry the highest share of remote arrangements, while positions tied to operational or clinical data are more likely to require on-site presence.
How do you become an analytics director?
Most analytics directors build toward the role by first becoming a strong individual-contributor analyst, then moving into a team lead or senior analytics manager position where they own a business domain end-to-end. From there, the path involves owning analytics roadmaps, presenting to executives, and hiring. Gaining exposure to product, finance, or marketing partnerships accelerates promotion, as does demonstrating that your analyses changed real decisions.
Can you get hired as an analytics director without prior director experience?
Yes, but you'll need to demonstrate director-level scope in a different title. Hiring managers look for candidates who have managed analysts, set team strategy, and owned a data function rather than executed within one. If your current title is senior manager or principal analyst but your responsibilities already match a director, reframe your resume around ownership, team growth, and business outcomes rather than technical execution.
What does the analytics director interview process look like?
The process typically runs four to six rounds. An initial recruiter screen is followed by a hiring manager conversation focused on leadership philosophy and domain experience. A panel round brings in cross-functional stakeholders such as product, finance, or engineering leaders. Most companies then assign a take-home or live case study requiring you to scope an analytical problem and present recommendations. Final rounds often include a conversation with a VP or C-suite executive.
Where can I find and apply to analytics director jobs?
You can find and apply to analytics director jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your background and apply directly to each listing.
See All 550+ Analytics Director Jobs
Find roles that match your experience and apply in just a few clicks.
Find Analytics Director Jobs