{"id":919524,"url":"https://alion.io/job/novartis-director-analytics-engineering-2-openings","title":"Director, Analytics Engineering (2 Openings)","company":{"id":5824,"name":"Novartis","domain":"novartis.com","url":"https://alion.io/company/novartis","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":85,"open_postings":84,"ghost_share":0,"stale_share":0.595,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":194600,"max":361400,"currency":"USD","period":"year","gross":null,"usd_annual":361400},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Feast","optional":false},{"name":"Feature Store","optional":false},{"name":"GDPR","optional":false},{"name":"Google BigQuery","optional":false},{"name":"HIPAA","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prefect","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Self-Healing","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-09-14T23:17:59Z","employer_posted_date":"2026-09-14","last_verified_at":"2026-11-06T10:17:46Z","board_verified":true,"closed_at":null,"days_open":52,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":52},"description":"Job Description Summary\n#LI-RemoteNovartis 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.\nThis 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.\nThere are 2 positions available.\nJob Description\nMajor accountabilities:\nDesign and implement intelligent, self-healing data pipelines that leverage AI/ML for automated data quality monitoring, anomaly detection, and remediation.\nBuild and maintain centralized feature stores that enable feature reusability across multiple models and use cases.\nCreate curated data repositories optimized for data science/AI workflows, including training datasets, evaluation datasets, and production serving layers.\nDevelop automated feature engineering pipelines that transform raw data into analytics-ready features with lineage tracking.\nPartner with Enterprise IT to optimize analytics platform architecture for high-performance data science workloads.\nBuild automated pipelines that integrate diverse data sources including sales, CRM, patient claims, real-world evidence, and unstructured data.\nCreate self-service data access layers that empower data scientists and analysts to query and extract data independently.\nEstablish SLAs for data availability, freshness, and quality; implement monitoring and observability solutions.\nEssential Requirements\nAdvanced degree in Computer Science, Data Engineering, or related field;\n7+ years of experience in data engineering, ML/AI engineering, or analytics infrastructure.\n5+ years leading teams building enterprise-scale data platforms and feature stores.\nExpert knowledge of feature store technologies (Feast, Tecton, SageMaker Feature Store, Databricks Feature Store).\nDeep expertise in modern data platforms optimized for ML workloads (Databricks, Auto ML, Snowflake, BigQuery).\nStrong proficiency in Python, SQL, Spark/PySpark for large-scale data processing.\nExperience with data orchestration tools (Airflow, Prefect, dbt) and CI/CD for data pipelines.\nUnderstanding of data governance, privacy (HIPAA, GDPR), and compliance in life sciences.\nPreferred Qualities\nProven track record of implementing AI/ML-powered automation in data engineering workflows.\nStrategic thinker who can balance innovation (cutting-edge AI tools) with reliability (production stability).\nBuilder mindset with ability to create scalable, self-service capabilities that reduce dependency on data engineering.\nExperience in pharmaceutical, healthcare, or life sciences industry.\nKnowledge of streaming technologies, MLOps tools, and data lakehouse architecture.\nNovartis Compensation Summary:\nThe salary for this position is expected to range between $194,600 and $361,400 per year.\nThe 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.\nYour compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.\nUS-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.\nTo learn more about the culture, rewards and benefits we offer our people click here.\nEEO Statement:\nThe 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.\nAccessibility and reasonable accommodations\nThe 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  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.\nSalary Range\n$194,600.00 - $361,400.00Skills Desired\nArtificial Intelligence (AI), Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Mentorship, Stakeholder Engagement, Statistical Analysis, Time Series Analysis","description_format":"text","description_chars":5615,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Oncology Therapeutics","Neurology & CNS Therapeutics","Immunology & Inflammation Therapeutics","Cardiometabolic Therapeutics"],"lifecycle":[{"event":"open","at":"2026-09-14T23:17:59Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 8 · green card filings: 2","filings_12m":8,"filings_prev_12m":18,"green_card_filings_12m":2,"median_offered_wage_usd":146500,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":0}],"liveness":{"score":15,"band":"cold","label":"Long shot","p_open":1,"p_active":0.544,"p_room":0.28,"age_days":52,"expected_fill_days":26,"reasons":["conf:0","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-11-06T05:58:05Z"},"pay":{"stated_usd_annual":361400,"is_top_pay":true},"html_url":"https://alion.io/job/novartis-director-analytics-engineering-2-openings","json_url":"https://alion.io/job/novartis-director-analytics-engineering-2-openings.json","meta":{"generated_at":"2026-11-06T11:59:21Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":21873,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-07T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":5824},"rest":"https://alion.io/mcp/rest/get_company?id=5824"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnovartis-director-analytics-engineering-2-openings"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fnovartis-director-analytics-engineering-2-openings"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fnovartis-director-analytics-engineering-2-openings"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/novartis-director-analytics-engineering-2-openings\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnovartis-director-analytics-engineering-2-openings"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":919524}},{"tool":"search_jobs","arguments":{"company":"novartis.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":919524},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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