• Own the analytics platform roadmap — prioritizing improvements, architecture decisions, and tooling enhancements in partnership with IT and the Head of Data, Analytics and AI Solutions • Define and enforce platform SLAs, data quality standards, and operational runbooks • Serve as technical mentor to the Analytics Engineer/Data Scientist • Own the end-to-end data pipeline from ingestion through transformation and delivery into BI tools and data products across our AWS stack (Step Functions, Glue, Snowflake, dbt, Sigma) • Partner with third-party vendors to maintain DataOps infrastructure using infrastructure-as-code practices • Monitor pipeline health and drive timely resolution of data issues with providers and consumers • Maintain and evolve an enterprise data model, data dictionary, and business rules agnostic across sources, insurance products, and distributors • Enforce Snowflake security best practices — masking policies, RBAC, and least-privilege access — aligned to GLBA NPI/NPI-H classification requirements • Champion data governance, lineage, and quality standards; support NAIC MDL-668 audit trails, SOC 2 Type II evidence collection, and adherence to CCPA/CPRA, HIPAA, and state breach notification requirements • Design and maintain systems of record for core insurance domains (policy, claims, billing, distribution, customer) with proper versioning, effective dating, and audit history • Own database design and management for AI tools and models, including vector databases, feature stores, and model input/output pipelines • Design and maintain a semantic layer enabling natural language insight discovery • Own executive and operational dashboards from board-level reporting down to day-to-day operations • Set BI development standards for the Analytics Engineer/Data Scientist to execute against • Maintain and enhance actuarial data pipelines including distributed compute and Glue Jobs for data curation • Advise on data architecture decisions supporting future AI/ML and modeling use cases

• Designing and implementing graph algorithms that analyze large cryptocurrency transaction networks at multi-blockchain scale • Researching new graph-native technology to evaluate benefit to data science and data engineering teams at TRM • Working on a highly cross-functional team that collaborates with cryptocurrency investigators to identify key user stories and requirements for new graph algorithms and features • Understanding and refining TRM’s risk models which analyze large networks of cryptocurrency transactions to assign risk scores to addresses • Communicating complex implementation details to a variety of audiences from investigators and customer success stakeholders to data engineers and data scientists • Integrating with a diverse set of data inputs ranging from raw blockchain data to complex model outputs

• Develops, supports and implements data services for multiple applications to meet business objectives and user requirements • Uses technical knowledge and industry experience to design, build and maintain technology solutions • Works closely with users, developers, operations and business partners to define data service requirements and the data preparation process development • Designs and builds data service infrastructure on multiple data platforms, according to key business processes and the overall workflow • Develops and implements data solutions for multiple applications to ensure its scalability, availability and maintainability • Implements data migration and transformation activities/processes to ensure the accuracy and security of data solutions

• Lead a small team in power systems modeling and analytics for utility clients • Mentor and train less experienced engineers in power engineering theories and principles • Manage project tasks such as forecasting, tracking hours, budgeting, milestones, scheduling meetings, delegating tasks • Interact with clients to demonstrate expertise and attract new business • Create and maintain transmission short circuit and power flow models in programs like CAPE, ASPEN, PSSE, and PSCAD • Perform analyses such as Arc Flash, voltage imbalance, and thermal ampacity ratings • Write thorough technical reports summarizing findings • Develop automation scripts to improve task efficiency and accuracy using languages such as Python, SQL, and VBA