Lead data governance and trust initiatives across CHOP’s enterprise data ecosystem, ensuring data quality, security, and ethical use while driving AI-enabled solutions.
Compensation
$100,000.00 - $375,000.00 Annually
Responsibilities
Define and execute a multi-year Data Trust and Data Governance roadmap
Integrate data governance into broader Data & Analytics, digital, and AI strategies
Ensure governance standards are consistently applied throughout the data asset lifecycle
Provide thought leadership on modern governance practices
Promote enterprise-wide adoption of repeatable governance standards
Requirements
Bachelor's Degree in Data science, informatics, computer science, biostatistics, healthcare, business administration, or a related field
Enterprise‑level technical expert responsible for architecting complex data solutions, designing cross‑domain frameworks, and shaping the organizational data strategy.
Responsibilities
Design enterprise‑scale data platforms and solutions leveraging cloud ecosystems (Azure, AWS) and modern data platforms (Snowflake, Databricks).
Evaluate and implement emerging technologies, including AI/ML capabilities, to enhance data products and deliver measurable business value and innovation.
Apply expert‑level knowledge of data systems, cloud architectures, big data platforms, streaming technologies, orchestration tools, and enterprise integration patterns.
Optimize data ecosystems by simplifying integration patterns, improving performance, and eliminating redundancy.
Communicate and negotiate technical direction with executive leadership.
Requirements
Bachelor's in Computer Science, Engineering, or related field.
The Head of Data and AI Spain is a strategic leadership role responsible for maximizing the value of data and accelerating responsible AI adoption across AXA Partners Spain. The role leads the Data team and is key contributor to the end-to-end data and AI agenda.
Responsibilities
Define and execute the Spain data and AI strategy, roadmap and operating model in alignment with business priorities and AXA Partners Group direction.
Lead, coach and develop the Data team; clarify roles, strengthen capabilities and foster a collaborative, accountable, and business-oriented culture.
Own demand management and portfolio prioritization, balancing strategic value, regulatory obligations, delivery capacity, dependencies and total cost.
Ensure end-to-end delivery of data products, reporting, analytics and AI solutions, with clear scope, milestones, quality controls, benefits and service ownership.
Establish and enforce data governance, including ownership, quality, access, retention, privacy and security controls.
Requirements
Degree or equivalent professional experience in data, technology, engineering, computer science, business or a related discipline
Design, develop, and deliver modern, cloud-native applications and services within the RxIO program
Contribute across the full software development lifecycle, including solution design, implementation, automated testing, performance optimization, production readiness, troubleshooting, and continuous improvement
Collaborate with architects, product teams, engineering teams, and other RxIO domain teams to deliver secure, scalable, resilient, maintainable, and extensible solutions supporting the broader RxIO platform
Requirements
Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information Technology, or a related technical field, or equivalent practical/professional experience
Master's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical discipline is preferred
Nice to have: Java 21
Nice to have: Spring Boot 3.x
Nice to have: Google Cloud Platform (GKE, Cloud Spanner, Cloud Storage, BigQuery, Dataflow, Cloud Composer)
Lead and manage engineering teams, providing technical guidance, mentorship, and support to ensure the delivery of high-quality software solutions, driving technical excellence, fostering a culture of innovation, and collaborating with cross-functional teams to align technical decisions with business objectives.
Responsibilities
Lead engineering teams effectively, fostering a collaborative and high-performance culture to achieve project goals and meet organizational objectives.
Oversee timelines, team allocation, risk management and task prioritization to ensure the successful delivery of solutions within scope, time, and budget.
Mentor and support team members' professional growth, conduct performance reviews, provide actionable feedback, and identify opportunities for improvement.
Evaluation and enhancement of engineering processes, tools, and methodologies to increase efficiency, streamline workflows, and optimize team productivity.
Collaboration with business partners, product managers, designers, and other stakeholders to translate business requirements into technical solutions and ensure a cohesive approach to product development.
Lead the Analytics & AI team at Panasonic Energy, driving enterprise roadmap, portfolio, and delivery of analytics and AI solutions across PECNA sites.
Compensation
In addition to an environment that is as innovative as our products, we offer competitive salaries and benefits.
Responsibilities
Establish and maintain enterprise analytics and AI roadmap
Translate roadmap into prioritized portfolio
Align leaders across Nevada and Kansas on common analytics and AI priorities
Partner with business and site leaders to identify high-value use cases
Establish forward deployed engineering model
Requirements
Bachelor's degree in Engineering, Data Science, Computer Science, Statistics, Mathematics, Industrial Engineering, Information Systems, Business, or a related field
Analytics Product ManagerNewArrow Electronics · Casablanca, Morocco
Head of Data and AI SpainAXA · Barcelona, Spain
Director, Data TrustChildren’s Hospital of Philadelphia · Philadelphia, US
Sr Manager, Analytics and AIPanasonic · De Soto, US