IT Manager, Global Data and Analytics

Abbott Laboratories

Alameda, CA, United States

11 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Compensation

$155,000.0 - $212,500.0

Working hours

Regular working hours

Job source

find.jobs

Tech stack

Computer-Aided Design Agile Methodology Artificial Intelligence Amazon Web Services Business Analytics Applications Microsoft Azure Cloud Computing Cyber Security Data Governance Data Integration Extract Transform Load (ETL) Data Systems

+17 more

Data Visualization Data Warehousing Relational Databases R (Programming Language) Python (Programming Language) Machine Learning Power BI SQL Databases Tableau (Software) Talend Enterprise Data Management Snowflake Apache Spark Data Lakes Qlikview Data Management Azure Synapse Analytics

Job description

Abbott Laboratories seeks a Senior IT Manager, Global Data and Analytics to lead enterprise data strategy across its biotechnology and pharmaceutical businesses. In this role, you will own the vision, roadmap, and execution of global data platforms, overseeing data engineering, BI, and analytics teams that power critical scientific, commercial, and operational decisions. Partnering with leaders across R&D, diagnostics, and commercial functions, you will translate complex business needs into scalable, secure, and compliant data solutions. You will champion data governance, quality, and advanced analytics adoption, ensuring alignment with regulatory standards while fostering an inclusive, growth-oriented, and innovative culture., * Lead global data and analytics strategy to support Abbott’s biotechnology and pharmaceutical operations

Oversee design, delivery, and governance of enterprise data platforms and analytics solutions
Partner with business and scientific leaders to translate needs into scalable data products and dashboards
Manage data engineering, BI, and analytics teams; mentor and develop technical talent
Establish data quality, security, and compliance standards across regions
Drive adoption of advanced analytics, including AI/ML, to improve decision-making and patient outcomes
Collaborate with IT, R&D, and commercial teams on cross-functional initiatives
Manage vendor relationships, budgets, and project portfolios
Ensure solutions comply with healthcare, privacy, and regulatory requirements (e.g., HIPAA, Gx
P)
Continuously improve processes, tools, and architectures to enhance performance and reliability

Requirements

Data warehousing and data lake architecture (e.g., Snowflake, Redshift, Big
Query, Azure Synapse)
SQL and relational database design
Cloud platforms (AWS, Azure, or GCP) for data and analytics workloads
ETL/ELT and data integration tools (e.g., Informatica, Talend, dbt)
Business intelligence and visualization tools (e.g., Power BI, Tableau, Qlik)
Data governance, data quality, and master data management
Advanced analytics and machine learning concepts and tooling (e.g., Python, R, Spark)
Information security, privacy, and regulatory compliance in healthcare/life sciences
IT project and portfolio management, including Agile practices
People leadership, stakeholder management, and cross-functional collaboration