Cloud Data & Analytics Strategy Senior Associate (Insurance)

Role Overview:

As a Senior Associate, you’ll collaborate with a team of problem solvers, contributing to the resolution of complex business challenges—from strategic planning to implementation. In this role, you will be expected to demonstrate core PwC Professional skills while supporting project delivery, team development, and client engagement.

Key Responsibilities:

• Utilize feedback and self-reflection to increase self-awareness and improve personal and professional effectiveness.

• Provide mentoring and delegation to junior team members, offering opportunities for growth and ensuring quality outcomes.

• Apply structured thinking to solve ambiguous or complex business problems.

• Leverage a diverse set of tools and methods to extract insights from evolving industry and sector trends.

• Maintain high standards in reviewing your own work and that of others to ensure precision, relevance, and consistency.

• Assess and justify the appropriate use of tools and methodologies based on specific project needs.

• Actively seek out varied experiences that broaden your understanding of different business contexts and perspectives.

• Communicate ideas and insights clearly and logically to influence stakeholders and build consensus.

• Demonstrate emotional intelligence by adapting behavior to different interpersonal situations.

• Consistently uphold the firm’s code of ethics and demonstrate integrity in all professional conduct.

Basic Qualifications:

• Minimum Education: Bachelor’s degree

• Minimum Experience: 4 years of relevant professional experience

Preferred Certifications:

• Professional certification in a leading cloud platform such as AWS, Azure, or Google Cloud Platform (GCP)

Preferred Knowledge and Skills:

Candidates should possess strong expertise in several of the following areas:

• Designing and executing data-driven strategies that drive business performance and decision-making optimization.

• Developing enterprise-wide data governance and management frameworks aligned with organizational objectives.

• Managing and refreshing data strategy programs and ensuring consistent alignment with business needs.

• Experience in delivering strategy and transformation projects, especially within modern cloud data architecture frameworks.

• Proficiency in cloud-native data integration and storage technologies (e.g., AWS Glue, Azure Data Factory, Event Hub, Databricks, Redshift, Synapse, BigQuery, Snowflake).

• Familiarity with infrastructure automation tools such as Terraform or CloudFormation.

• Deep understanding of data modeling and warehousing concepts including OLAP/OLTP, data vault modeling, and star/snowflake schemas.

• Experience with big data tools such as Hadoop, Spark, Scala, Kafka, and ETL platforms (e.g., Matillion, IICS, SnapLogic).

• Strong command of SQL, Python, and visualization tools like Power BI, Tableau, or Cognos.

• Hands-on experience developing and deploying AI/ML models, with knowledge of ML Ops processes.

• Knowledge of enterprise data systems such as Master Data Management (MDM), enterprise data warehouses, and data governance frameworks.

• Understanding of DevOps practices, CI/CD pipelines, and containerization technologies (e.g., Docker, Kubernetes).

• Prior experience working with insurance industry data, particularly within Property & Casualty (P&C) or Life & Annuity (L&A) sectors.

Additional Preferred Experience:

• Prior consulting experience with a Big 4 firm or similar consulting environment, ideally from strategy to execution.

• Adept at translating business requirements into actionable technical solutions and architectures.

• Ability to connect business value with appropriate analytical approaches.

• Openness to learning modern technologies and staying current with industry advancements and market trends.

• Demonstrated ability to build positive team dynamics, actively seeking support and contributing to team success.

• Strong multitasking, research, analytical, and communication skills tailored to diverse business audiences, including executive stakeholders and clients.