Location Details: 1 week on-site per month

Duration: 6 months to start

Job Description:
Culture: Committed to Data-driven Approaches, Innovation, Agility, and Diversity

The Portfolio Manager will report directly to the Chief Data Analytics Officer and will play a critical role in providing program management for all Data & Analytics initiatives across Data Science, Data Engineering, Service Delivery, Data Insights, and Robotic Process Automation teams. The position demands a hands-on approach and collaboration with cross-functional teams to drive innovation and ensure adherence to department standards and policies.

Responsibilities
A day in the life of a Data & Analytics Portfolio Manager includes:

• Provide program management for all Data & Analytics initiatives, ensuring alignment with the organizational goals and objectives.
• Advise on and ensure the implementation of correct Google Cloud architecture patterns.
• Design, implement, and manage department-level processes that are efficient and scalable.
• Advise on and ensure the implementation of correct data engineering design patterns.
• Support innovation initiatives, including assisting in the formulation and design of cloud-based AI deployments.
• Advise on and ensure adherence to correct data governance policies and procedures.
• Design and maintain department policies and procedures, ensuring compliance with regulatory standards.
• Determine and monitor department KPIs, and prepare reports for executive review.
• Manage the departmental budget, including planning, allocation, and monitoring expenditures.
• Provide hands-on support for data ingestion, scripting, and Google Cloud deployments.
• Collaborate with cross-functional teams to ensure seamless communication and alignment.
• Analyze large data sets to derive insights and make data-driven decisions.
• Drive a culture of continuous improvement and innovation within the department.

• Education: Minimum of a Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.
• Experience: At least 3 years of experience in data science, software engineering, or a related field.
• Experience: At least 5 years of experience in program management.

• Proficiency in Python
• Proficiency in SQL
• Experience with Google Cloud
• Experience with Looker or comparable data visualization tools
• Knowledge of cloud architecture patterns
• Strong understanding of data governance policies and procedures
• Excellent communication and collaboration skills
• Ability to lead cross-functional teams and drive initiatives
• Strong analytical and problem-solving skills
• Budget management experience
• Experience with Agile