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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Manager - AI, Data, and Analytics - **Company:** Abbott Laboratories - **Location:** North Chicago, IL, United States - **Experience:** Expert - **Salary:** $129,300.0 - $258,700.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Automation of Tests, Microsoft Azure, Cloud Computing, Continuous Integration, Data Architecture, Data Governance, Data Infrastructure, Data Integration, Data Visualization, R (Programming Language), Python (Programming Language), Machine Learning, Metadata, Power BI, Cloud Services, DataOps, SQL Databases, Data Streaming, Tableau (Software), Cloud Platform System, Generative AI, Information Technology, Data Analytics, Data Delivery - **Published:** July 26, 2026 - **Apply:** https://www.nexxt.com/job.asp?id=3332316945&tx=KJ909PFK&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * Minimum of 7-10 years of experience in data analytics. * Strong technical foundation in data architecture and analytics, including experience with data visualization tools (e.g., Power BI, Tableau) and advanced analytics tooling (e.g., SQL, Python, R). * Demonstrated experience defining and governing enterprise data architecture, including data integration, data quality, metadata, lineage, and data governance frameworks. * Strong experience with modern data delivery practices such as DataOps (CI/CD, automated testing, monitoring/observability, and documentation) in support of regulated, auditable environments. * Knowledge of AI, machine learning, and GenAI applications in business and financial analytics. * Strong business acumen with the ability to translate complex analyses into actionable recommendations. * Proven leadership skills, including experience influencing senior stakeholders and leading cross-functional teams. * Bachelor's degree in data science, Statistics, Computer Science, Business Administration, or a related field., * Master's degree in data science, Statistics, Computer Science, Business Administration, or a related field. * Advanced certifications in data architecture, data analytics, cloud, or AI-related disciplines. * Experience with cloud-based data platforms (e.g., AWS, Azure). * Familiarity with modern data platforms and patterns (e.g., lake house/warehouse, orchestration, event streaming, data catalog/metadata) and how they support analytics and AI/GenAI solutions. * Experience in a Corporate Finance function is a plus. ## Description * Serve as a first point of contact for Corporate Functions on AI, Data, and Analytics tooling and capabilities, advising on best-fit solutions (enterprise platforms vs. productivity-embedded solutions) based on business use cases and risk considerations. * Help operationalize intake-to-value delivery for AI/GenAI use cases (intake ? assess data readiness ? pilot ? scale), including clear stage gates, ownership, and benefits tracking in partnership with business, risk, and engineering stakeholders. * Partner with business leaders and BRMs to shape demand and translate priorities into data domains, analytics use cases, and measurable business outcomes. * Incorporate data and GenAI initiatives into prioritized roadmaps with clear outcomes, dependencies, and data readiness, ensuring alignment with organizational strategic priorities. * Define and enable agentic AI (e.g., copilots, task-oriented agents, and workflow-embedded AI) by establishing the data, architecture, and governance foundations that allow AI agents to safely reason, act, and integrate with enterprise systems. * Partner with business leaders and external vendors establishing a data and analytics strategy and operating model (intake, prioritization, delivery, adoption, and value realization) for each function, including governance models that ensure scalable, AI-ready solutions. * Evaluate and guide adoption of established and emerging technologies (e.g., cloud data platforms, vector databases, retrieval-augmented generation (RAG), advanced analytics, and real-time inference architectures) to enhance corporate capabilities. * Promote enterprise reporting standards and governed semantic layers to ensure consistent definitions of key metrics across Corporate Functions. * Improve reliability and trust through data observability and operational controls (monitoring, alerting, SLAs, and automated checks) in collaboration with platform and integration teams. * Identify risks and support mitigation strategies impacting financial and operational performance. * Communicate complex data, architecture, and analytics concepts to non-technical stakeholders in a clear, actionable manner. * Continuously evaluate and improve data and analytics processes and methodologies to increase reliability, usability, and time-to-insight. * Allocate resources effectively to ensure successful execution of data and analytics initiatives. * Track and report on the performance, adoption, and realized value of data and analytics products and initiatives (e.g., dashboards, regular stakeholder reviews, and post-implementation lessons learned). ## Related Videos - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data: The Deciding Factor in AI Success](https://www.wearedevelopers.com/videos/100310-data-the-deciding-factor-in-ai-success) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Crafting Custom Frameworks with Rust: A Deep Dive into Procedural Macros](https://www.wearedevelopers.com/videos/849-crafting-custom-frameworks-with-rust-a-deep-dive-into-procedural-macros) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)