Data Integration, Transformation & Modeling • Integrate and transform data from multiple upstream sources (e.g., Smartsheet, Jira, SAP, ServiceNow, Clarity PPM, SQL-based sources), ensuring consistency and reliability across reporting layers • Develop robust Power Query (M) transformations and dataflows, and configure gateways/refresh to meet business SLAs • Perform performance tuning across models and reports (cardinality management, aggregation patterns, DAX optimization) and troubleshoot refresh or dataset failures • Establish and maintain metric definitions and calculation logic to ensure alignment across teams and reduce ambiguity Platform Integration, Deployment & Solution Ownership • Own the end-to-end reliability of the reporting ecosystem, integrating data across Smartsheet, Jira, SAP, ServiceNow, Clarity PPM, Power BI, and related platforms • Manage the Power BI delivery lifecycle (dev/test/prod practices, versioning, workspace and app management) and support governance including access controls and certified datasets where applicable • Partner with platform and process owners to improve data quality at the source and ensure solutions remain scalable and aligned with the evolving product-centric operating model • Build and integrate agentic AI solutions to accelerate analytics workflows (e.g., automated data quality checks, narrative generation, insight triage, and self-service assistant experiences), with appropriate controls and monitoring Required Qualifications: • Bachelor’s degree in Business, Computer Science, Information Systems, Statistics, or a related field (or equivalent practical experience) • 7+ years of experience developing enterprise BI/reporting solutions, with significant hands-on Power BI development, preferably in an Enterprise Technology organization • Advanced expertise in Power BI, including DAX, semantic/data modeling, calculated tables, and performance optimization across large datasets • Experience with Power BI administration and delivery practices (workspaces, apps, refresh/gateways, access controls) as applicable • Strong Power Query (M) and SQL skills, including data transformation, reconciliation, and troubleshooting of data issues • Demonstrated experience integrating data across multiple enterprise systems (e.g., Smartsheet, Jira, SAP, ServiceNow, Clarity PPM, SQL-based sources, custom solutions) • Proven experience working with imperfect or inconsistent data, identifying root causes, and improving data quality across upstream systems • Ability to operate independently in a fast-paced, evolving environment with minimal direction • Systems-level thinker with the ability to understand and optimize end-to-end data flows across multiple platforms and tools • Strong judgment and problem-solving skills in ambiguous, evolving environments with incomplete or conflicting data • Ownership mindset with a track record of taking accountability for outcomes—not just deliverables • Ability to challenge assumptions, push back on unclear requirements, and drive alignment across stakeholders • Experience in delivering insights that influence strategic decisions • Proven ability to translate ambiguous business questions into structured data models, metrics, and insights Preferred Qualifications: Experience with other data visualization tools and proven experience building solutions with agentic AI is preferred • Experience with other data visualization tools such as Tableau, Qlik, Looker, or advanced Excel visualization • Experience operationalizing AI-assisted analytics or copilots (e.g., prompt/design patterns, evaluation, monitoring, and responsible AI practices) is a plus • Proven experience in agentic AI (designing and deploying agentic workflows using LLMs and tools to autonomously plan, execute, and validate analytics tasks) with an emphasis on security, reliability, and human-in-the-loop controls • Hands-on experience with Snowflake, including designing and optimizing cloud-based data warehouses, integrating Snowflake with Power BI and enterprise platforms through scalable ETL/ELT patterns, and supporting high performance, multi source analytics and data modernization initiatives in partnership with upstream system owners. Must Haves: Hands-on experience with Snowflake, including designing and optimizing cloud-based data warehouses, integrating Snowflake with Power BI and enterprise platforms through scalable ETL/ELT patterns, and supporting high performance, multi source analytics and data modernization initiatives in partnership with upstream system owners.