aidata engineeringawsdatabricksdata analyticsgenaidata architecturedata governancedata productsdata mesh
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$149к-297к/год
$140к$180кмедиана$210к
По похожим ролям (50) ~ $180к/год
На СНГ рынке: $3.6к/мес ($3к - $4.3к)
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Роль дает широкую стратегическую ответственность за дата-продукты, аналитику и ИИ в крупной медицинской компании, хотя высокий уровень позиции и охват множества функций могут требовать много координации.
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Широкий охватСовременный стекИИ в медицинеСильный соцпакетТолько офис
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior IT Manager, Global Data and Analytics (AI): Establishing and scaling data products, analytics, AI, and GenAI capabilities across Abbott Diabetes Care with an accent on data strategy, modern data engineering, governance, and enterprise architecture. Focus on shaping scalable Databricks and AWS-based solutions, prioritizing global portfolios, and driving responsible AI adoption across complex matrixed business functions.
Location: Onsite in Alameda, California, United States. This is not a remote role.
Base pay: $148,700–$297,300 annually; pay ranges may vary by location.
Company
hirify.global is a global healthcare company developing products and technologies across diagnostics, medical devices, nutritionals, and branded generic medicines.
What you will do
Advise Commercial, Marketing, R&D, Quality, Operations, Supply Chain, Finance, and other functions on data, analytics, AI, and GenAI opportunities.
Establish and scale the Data Product delivery model, including discovery, vision, roadmaps, lifecycle management, KPIs, and value realization.
Champion modern data engineering, lakehouse capabilities, data quality, observability, metadata, lineage, security, governance, and reusable data assets.
Provide conceptual solution direction and partner with Architecture, Engineering, Corporate IT, Legal, Privacy, Cybersecurity, Data Science, and Delivery teams.
Lead AI and GenAI opportunity assessment, prioritization, implementation, responsible AI practices, and adoption monitoring.
Manage portfolio intake, prioritization, investment trade-offs, delivery risks, dependencies, resources, and business-led data governance.
Requirements
10+ years of progressive Data & Analytics leadership experience spanning Data Engineering, Data Architecture, Analytics, Data Management, and Data Governance.
Hands-on experience driving data strategy, data architecture, Data Product governance, and enterprise-scale data and analytics solutions.
Experience partnering with senior business leaders to translate strategic priorities into scalable technology-enabled solutions.
Experience operating across business functions, Functional BRMs, Data & Analytics, Architecture, Engineering, and IT in complex matrixed environments.
Deep understanding of modern data architectures, cloud analytics ecosystems, enterprise data platforms, and product-oriented delivery models, including Databricks, Snowflake, Amazon Redshift, or related cloud data platforms.
Strong experience with AWS cloud services and architectures for enterprise Data & Analytics platforms.
Hands-on Databricks experience, including Lakehouse architecture, Delta Lake, Unity Catalog, and modern data governance practices.
Experience establishing and scaling Data Products, Data Product operating models, Data Mesh principles, domain-oriented ownership, and business-led data governance.
Experience leading conceptual solution design and influencing architecture, platform, and technology decisions with Architecture and Engineering teams.
Ability to lead through influence, drive alignment, and make decisions across complex global matrix organizations; strong strategic thinking, business acumen, and problem-solving skills.
Bachelor’s degree in information technology, Information Systems, Computer Science, Engineering, Data Analytics, Business, or a related field.
Nice to have
Healthcare industry experience, including regulated environments involving patient, clinical, or healthcare data.
Experience with Power BI, Tableau, Qlik Sense, or similar enterprise analytics and business intelligence platforms.
Familiarity with GenAI and LLM frameworks and experience evaluating or implementing enterprise AI, Generative AI, or LLM-based solutions.
Exposure to applied AI/ML initiatives, model governance, MLOps concepts, or responsible AI practices.
Experience with Customer Data Platform technologies.
Exceptional communication, facilitation, stakeholder management, and executive presentation skills.
Master’s degree.
Culture & Benefits
Career development opportunities with an international healthcare company.
Employees may qualify for free medical coverage through the Health Investment Plan PPO medical plan in the next calendar year.
Retirement savings plan with a high employer contribution.
Tuition reimbursement, student debt support through Freedom 2 Save, and the FreeU education benefit.
Workplace focused on diversity, employee development, health, and family well-being.
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