{"id":116845,"url":"https://alion.io/job/sanofi-lead-data-and-ai-engineer","title":"Lead Data and AI Engineer","company":{"id":146,"name":"Sanofi","domain":"sanofi.com","url":"https://alion.io/company/sanofi","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":98,"open_postings":75,"ghost_share":0,"stale_share":0.227,"repost_share":0.093,"time_to_fill_p50_days":21,"computed_at":"2026-10-26T05:57:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":102000,"max_usd":203000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":28},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Hadoop","optional":false},{"name":"Informatica","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"CI/CD","optional":true},{"name":"dbt","optional":true}],"status":"live","first_seen_at":"2026-08-24T00:00:00Z","employer_posted_date":"2026-08-24","last_verified_at":"2026-10-24T10:04:28Z","board_verified":false,"closed_at":null,"days_open":63,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":63},"description":"Reference no. R2867104\nPosition title: Lead Data and AI Engineer\nDepartment: US Commercial Data Engineering\nLocation: Toronto, ON\nAbout the job\nReady to push the limits of what’s possible? Join Sanofi in one of our corporate functions and you can play a vital part in the performance of our entire business while helping to make an impact on millions around the world.\n Who You Are:\nYou are a hands-on data and AI engineering leader with a strong background in building and operating data pipelines and platforms in complex enterprise environments. You bring a blend of technical depth, architectural thinking, and people leadership. You are comfortable guiding a team, partnering with stakeholders, and translating business needs into scalable and reliable data solutions.\nYou care about engineering quality, operational excellence, and continuous improvement. You have experience working across cross-functional teams and know how to balance delivery, governance, and long-term platform sustainability.\nIn this role, you will report directly to the Head of Data Engineering, Commercial US. You will provide architectural leadership and technical know-how across data pipeline construction, execution, and operations. You will work closely with teams across Data, Digital, Infrastructure, Cloud, Security, Agile, and key business stakeholders. You will also have direct people management responsibilities and the opportunity to shape and grow your team.\nSanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives.\nAbout Sanofi\nWe’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system - and innovative pipeline - enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.\nMain Responsibilities:\nLead, mentor, and develop a team of data engineers while fostering strong engineering practices, accountability, collaboration, and continuous improvement\nDesign, build, deploy, and support scalable data pipelines and data products that enable analytics, AI/ML, and commercial business use cases\nLead discovery, solution design, and technical planning discussions with business, analytics, AI, and technology teams\nManage team delivery, priorities, capacity planning, and execution across multiple concurrent data engineering initiatives\nDesign, develop, test, and optimize scalable data engineering solutions and reusable data assets that support analytics, AI/ML, and business-critical workflows across global platforms\nPartner with technical and non-technical stakeholders to clarify ambiguous business needs, shape solution approaches, and translate requirements into scalable data engineering solutions\nProvide architectural and technical leadership across data pipeline orchestration, distributed processing, cloud-native platforms, and data integration patterns\nDrive operational excellence across production data assets, including monitoring, troubleshooting, incident response, release management, and continuous improvement\nIdentify opportunities to automate, simplify, standardize, and optimize data engineering processes, reusable assets, and platform capabilities\nCollaborate within cross-functional agile teams and partner with internal and external stakeholders to deliver high-quality data engineering solutions\nContribute to and evolve data engineering standards, best practices, and community knowledge sharing across the organization\nStay current with emerging technologies, industry trends, and modern data engineering practices to continuously improve platform capabilities and engineering effectiveness\nAbout you\nQualifications:\nMinimum 8 years of experience in data engineering, analytics/AI engineering, or data platform development\nMinimum 2 years leading or managing engineering teams/projects\nDemonstrated experience designing, building, and operating scalable data pipelines, data platforms, and distributed processing solutions using technologies such as Spark, Kafka, Snowflake, Hadoop, or similar\nStrong experience with cloud-native data engineering and modern ETL/ELT solutions, preferably within Snowflake / AWS-based environments; Informatica/IICS experience preferred\nAdvanced SQL and data modeling skills, with working knowledge of Python and scripting languages; Scala or Java is a plus\nExperience with batch, near real-time, and streaming data architectures, as well as modern data warehouse, lake, and lakehouse concepts including data mesh principles\nStrong understanding of data architecture, scalability, reliability, performance optimization, and operational support for enterprise-grade data platforms\nDemonstrated ability to work with technical and non-technical stakeholders to navigate ambiguity, identify underlying business needs, and translate them into scalable technical solutions and execution plans\nStrong communication, facilitation, and stakeholder management skills, with the ability to influence decisions and communicate complex technical concepts to diverse audiences\nExperience partnering with cross-functional teams including analytics, AI/ML, product, infrastructure, security, governance, and business stakeholders\nExperience operating in agile delivery environments with strong understanding of software engineering practices, CI/CD, release management, testing, and operational support\nExperience leading engineering teams through delivery execution, prioritization, mentoring, performance management, and continuous improvement initiatives\nBachelor’s or Master’s degree in Computer Science, Engineering, STEM, Business, or a related field, or equivalent practical experience\nNice to haves:\nExperience in life sciences, healthcare, or pharmaceutical industries\nExperience with Airflow, dbt or similar orchestration and transformation tooling\nFamiliarity with data governance, data quality, and commercial data domains such as omni-channel, pricing, customer engagement, or sales analytics\nExperience working with external vendors and offshore/onshore delivery models\nWhy Choose Us?\nBring the miracles of science to life alongside a supportive, future-focused team.\n\nDiscover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.\n\nEnjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.\n\nTake good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs.\n\nThis position is for a new vacant role that is now open for applications.\nAI Usage\n\"Artificial Intelligence” refers to any systems that use automated processes, including algorithms and machine learning, to analyze data and make predictions, inferences, decisions, or recommendations without direct human involvement. These systems may process personal information to identifypatterns, improve services, or support decision-making. The Company may use Artificial Intelligence for purposes including, but not limited to, resume screening and hiring, scheduling interviews or meetings, conducting surveys, matching skills with potential job openings, interview scoring, ensuring compliance with regulations applicable to our industry, and activities related to performance evaluation. Information collected and processed by the Company’s Artificial Intelligence systems may include the personal information detailed above and calendar availability. It excludes the information collected and processed for monitoring purposes. You should contact Human Resources if you have a question or concern regardingyour personal information. You can also contact Canada’s Privacy Officer via Sanofi’s data subject request portal, Data Subject Rights Webform. TheData Subject Rights Webform can also be used to request access or correction of your personal information and file a complaint.\nSanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, developand retainhighly talentedemployees from diverse backgrounds, allowing us to benefitfrom a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants. Accommodationsfor personswith disabilities requiredduring the recruitment process areavailable upon request.\n#GD-SP \n#LI-SP\nPursue progress, discover extraordinary\nBetter is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.\nAt Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.\nWatch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!\nNorth America Applicants Only\nThe salary range for this position is:\n158,200.00 - 208,200.00 (Includes target bonus)Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. Employees may be eligible to participate in Company employee benefits programs, and additional benefits information can be found through the (CA) LINK OR (US) LINK.\nLa fourchette salariale pour ce poste est la suivante:\n158,200.00 - 208,200.00 (Comprend le bonus cible)La rémunération finale sera déterminée en fonction de l'expérience démontrée, des compétences, du lieu de travail et d'autres facteurs pertinents. Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise, et des informations supplémentaires sur les avantages sociaux peuvent être trouvées via le lien","description_format":"text","description_chars":10309,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":2,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Equity","Wellness"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Prescription Drugs","Vaccines","Rare Disease Therapeutics","Immunology & Inflammation Therapeutics"],"lifecycle":[{"event":"open","at":"2026-08-24T00:00:00Z"}],"visa":[],"liveness":{"score":16,"band":"cold","label":"Long shot","p_open":1,"p_active":0.581,"p_room":0.28,"age_days":63,"expected_fill_days":21,"reasons":["conf:43","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-26T05:57:25Z"},"pay":null,"html_url":"https://alion.io/job/sanofi-lead-data-and-ai-engineer","json_url":"https://alion.io/job/sanofi-lead-data-and-ai-engineer.json","meta":{"generated_at":"2026-10-26T18:29:56Z","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":24786,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-27T00:00:00Z"}},"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":146},"rest":"https://alion.io/mcp/rest/get_company?id=146"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsanofi-lead-data-and-ai-engineer"},{"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%2Fsanofi-lead-data-and-ai-engineer"},{"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%2Fsanofi-lead-data-and-ai-engineer"},{"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/sanofi-lead-data-and-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsanofi-lead-data-and-ai-engineer"}]}