Senior Associate - Data Strategy

About the role

PwC provides data solutions that help clients build robust data architectures and scalable data solutions. As a Senior Associate in Data Strategy, you will support clients in shaping and delivering data and AI initiatives that solve business challenges and create measurable value, working across strategy, governance, analytics and AI and supporting projects from design through delivery.

Key responsibilities

• Support the development and execution of Data/AI strategies, roadmaps and transformation initiatives.
• Manage or coordinate Data/AI projects, including scope, timelines, stakeholders, risks and deliverables.
• Perform business analysis to understand business needs, define requirements and turn them into data-driven solutions.
• Design and deliver business intelligence and analytics solutions, including dashboards, reporting and insights.
• Support Data/AI governance frameworks, policies and operating models.
• Assist with AI validation and assurance, assessing AI solutions against business, governance and risk requirements.
• Facilitate workshops with business, technology and data stakeholders and support consulting engagements from problem definition through delivery.
• Prepare client-ready presentations, recommendations, business cases and project documentation.

Required profile

• Bachelor's degree in Computer Science, Information Technology, Engineering or a similar field.
• Minimum 3-4 years of experience in data strategy, analytics, AI, business intelligence, business analysis, technology or management consulting.
• Strong verbal and written communication skills and ability to work with cross-functional teams.
• Understanding of data governance, data privacy and security best practices.

Required skills

• Cloud platforms such as AWS Glue, AWS Lambda, AWS Redshift, Azure Data Factory, Databricks and Synapse Analytics.
• BI tools such as SSIS and SSAS.
• Programming in Python, Java or Scala, with experience of data processing frameworks and libraries.
• Analytical and troubleshooting skills, and strong data analysis and interpretation abilities.