Top Tech Jobs & Startups Jobs

The Cloud Data & Analytics Manager at PwC will align client data strategies to their business strategy, assist in platform selection, define data needs, and migrate to modern cloud data environments. Responsibilities include developing new skills, resolving team issues, coaching team members, analyzing ideas, using data insights, and managing global trends. The role requires 7 years of experience and expertise in modern cloud data architectures and engineering with AWS, Azure, GCP, and Snowflake.

A Cloud Data & Analytics Manager position within Financial Services-Insurance at PwC, focusing on aligning client data strategies to business strategy, choosing modern cloud data platforms, and driving innovation through smarter data analytics.

As a Cloud Data & Analytics Manager at PwC, you will align client data strategies to business goals, assist in platform selection, define data needs, and migrate to modern cloud data environments. Responsibilities include developing new skills, resolving issues, coaching team members, analyzing complex ideas, using data for decision-making, and upholding ethical standards.

Develop and implement modern cloud data architectures and engineering for various cloud providers. Assist clients in migrating to a modern cloud data environment. Work on data integration patterns and infrastructure as code. Manage a team to solve complex business issues and drive business results using data analytics.

As a Cloud Data & Analytics Manager at PwC, you will align client data strategies to their business strategy, assist in choosing a platform, define data needs, and migrate to a modern cloud data environment. Responsibilities include developing new skills, resolving issues, coaching team members, analyzing complex ideas, and using insights to inform decision-making.

Develop and implement cloud data architectures and data integration patterns for clients using cloud providers such as AWS, Azure, GCP, and Snowflake. Provide expertise in modern data engineering and architecture to drive business results through smarter data analytics. Collaborate with clients to align data strategies with business objectives and migrate to modern cloud data environments.

Develop new skills outside of comfort zone, resolve team issues, coach team members, analyze complex ideas, use data insights, manage global trends, simplify messages, uphold ethics and business conduct.