
Cloud Data & Analytics Senior Manager (Insurance)
- New York City, NY
- Permanent
- Full-time
- Encourage everyone to have a voice and invite opinion from all, including quieter members of the team.
- Deal effectively with ambiguous and unstructured problems and situations.
- Initiate open and candid coaching conversations at all levels.
- Move easily between big picture thinking and managing relevant detail.
- Anticipate stakeholder needs, and develop and discuss potential solutions, even before the stakeholder realises they are required.
- Contribute technical knowledge in area of specialism.
- Contribute to an environment where people and technology thrive together to accomplish more than they could apart.
- Navigate the complexities of cross-border and/or diverse teams and engagements.
- Initiate and lead open conversations with teams, clients and stakeholders to build trust.
- Uphold the firm's code of ethics and business conduct.
Bachelor DegreeMinimum Years of Experience:
9 year(s)Preferred Qualifications:Certification(s) Preferred:
- Certification in one of the following cloud platforms - AWS/Azure/GCP
- Possessing understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers - AWS, Azure, GCP;
- Being highly organized; Proven track record of implementing cloud data architecture and data integration patterns (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform);
- Understanding of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas);
- Demonstrating relevant project management experience in organizing and leading teams including Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development (tools: IICS/AWS Glue/SAP BODS/ SSIS/SnapLogic); preferable in P&C Insurance data warehouse;
- Understanding of file and object-based storage solutions using Azure ADLS 2.0 or AWS S3;
- Applying knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark;
- Improving advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process;
- Implementing enterprise data solutions concepts such as Master Data Management, Data Governance and Enterprise Data Warehouse;
- Architecting and driving delivery of high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML;
- Understanding and familiarity of one or more is a big plus - CI/CD, cloud devops, containers (kubernetes/Docker, etc.);
- Possessing P&C Insurance industry experience, including a proven understanding of insurance data, underlying KPIs and how they are used; and,
- Understanding of Insurance product like Guidewire (PolicyCenter, BillingCenter, & ClaimsCenter).
- Demonstrating prior Big 4 or strong consulting experience in strategy through execution projects;
- Leading the ideation and development of accelerators/prebuilt solutions that package leading practices and enable rapid deployment of high quality solutions for our clients;
- Leading and shaping the development of and execution of GTM strategy and industry specific offerings / assets;
- Leading the development and delivery of sales support materials for Data Integration opportunities, including delivery of client training and industry events;
- Acting as a subject matter specialist on Data architectures/tools/solutions, leveraging your knowledge and experience to meet client’s needs;
- Leading and driving the sizing effort related to Data work, plan and build strong teams utilizing onsite/offshore mix, utilizing deployment models for efficient delivery of solution;
- Performing as a team leader by creating a positive environment, building team members based on coaching and mentoring, shaping next generation of Data Integration leaders;
- Monitoring workloads of the team while meeting client expectations and respecting the work-life quality of team members; and,
- Providing candid feedback in a timely manner and keeping leadership informed of progress and issue.