Senior Leader, Data Analytics Engineering, Distinguished Engineer

About the Role

Key Responsibilities

• Lead technology direction with a focus on business outcomes.
• Evaluate emerging technologies and trends, and recommend adoption strategies.
• Collaborate with business leaders, IT teams, and stakeholders to develop architectural strategies for an end-to-end connected enterprise.
• Develop and champion enterprise architecture that enhances technology, applications, data & analytics, and security posture.
• Ensure enterprise architecture modernization aligns with strategic goals and recommend adjustments as needed.
• Champion and execute initiatives for business agility, including promoting Agile methodologies and DevSecOps practices.
• Develop and implement an API strategy aligned with business objectives, including API governance and security standards.
• Build cloud-native applications leveraging cloud services (AWS, Azure, Google Cloud) and microservices architecture.
• Promote the use of open-source software and containerization technologies like Docker and Kubernetes.
• Prioritize user experience by involving users in solution design, usability testing, and iterative feedback.
• Partner with sales and business units to explore new opportunities such as monetizing APIs, API marketplaces, and subscription models.

Requirements

• Master's degree or higher in Computer Science, Engineering, or applied Sciences (desirable).
• Proven experience in technology leadership roles with successful implementation of technology strategies.
• 15+ years of experience in building scalable platforms supporting complex cross-functional processes and API economy expansion.
• Understanding of cross-functional business processes such as Design to Build, Order to Cash, Procure to Pay, etc.
• Experience partnering with enterprise business functions like Finance, Sales, Marketing, Supply Chain, and Procurement.
• Extensive technical knowledge in IT systems, software development, cybersecurity, cloud computing, and data & analytics technologies.
• Proficiency in programming languages (e.g., JavaScript, Python, Java, Ruby), API protocols (REST, SOAP, GraphQL), and API management tools.
• Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization (Docker, Kubernetes).
• Strong understanding of software development methodologies (Agile, Scrum), DevOps practices, and security best practices.

Nice to Have

• Experience with artificial intelligence, IoT, Gen AI, and emerging data technologies.
• Knowledge of data modeling, data governance, and data integration principles.
• Familiarity with industry-specific technologies and trends.

Qualifications

• Master's degree or higher in a relevant field (preferred).
• 15+ years of experience in scalable platform development and API economy support.
• Experience enabling cross-functional enterprise applications and processes.

Benefits & Perks

• Competitive salary within a range based on education, experience, and performance.
• Participation in Short-Term Incentive (STI) and potentially Long-Term Incentive (LTI) programs.
• Comprehensive benefits including paid vacation, sick leave, medical/dental/vision insurance, life and disability insurance.
• Flexible spending and health savings accounts, employee assistance programs, tuition reimbursement.
• Additional voluntary benefits such as legal plans, pet insurance, critical illness, and hospital indemnity.
• 401(k) savings plan and employee stock purchase options.