Senior Manager, Data & Analytics – Data Strategy & Platform Engineering (Multiple Positions)
PricewaterhouseCoopers Advisory Services LLC
Application
Details
Posted: 05-Mar-24
Location: Tampa, Florida
Type: Full Time
Academic Designation:
Industry
Work Function:
Information Systems
Internal Number: FL3936
Senior Manager, Data & Analytics – Data Strategy & Platform Engineering (Multiple Positions), PricewaterhouseCoopers Advisory Services LLC, Tampa, FL. Help organizations uncover enterprise insights and drive business results using smarter data analytics. Advise clients on assessing, designing, and developing solutions to manage their risks. Help clients in identifying, understanding, and controlling the complexities involved with the specific risks and regulatory issues their businesses face. Assist clients in assessing, designing, and developing solutions to manage their risks. Navigate various analytics applications to get the most value out of their technology investment and foster con?dence in their business intelligence. Supervise and coach teams.
40 hrs/week, Mon-Fri, 8:30 a.m. - 5:30 p.m.
MINIMUM REQUIREMENTS:
Must have a Bachelor’s degree or foreign equivalent in Information Systems, Business Analytics, Computer Engineering, Business Administration, or a related field, plus 6 years of related work experience, of which 5 years must be post-bachelor’s progressive related work experience.
In the alternative, the employer will accept a Master’s degree or foreign equivalent in Information Systems, Business Analytics, Computer Engineering, Business Administration, or a related field, plus 4 years of related work experience.
Must have at least one year of experience with each of the following:
- Developing data migration and integration strategies for large volumes of data to gain insights and manage risks while optimizing overall performance of clients’ organizations;
- Designing and developing modern data warehouse solutions using data modeling techniques such as file based, normalized or denormalized, star schemas, schema on read, Vault data model, and graphs for mixed workloads, such as OLTP, OLAP, streaming using any formats (structured, semi-structured, unstructured);
- Designing and developing advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process; and,
- Assisting clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata.
80% telecommuting permitted. Must be able to commute to the designated local office.
Travel requirement(s): Domestic and/or international travel up to 80% required.