Lead team of PMs directing initiatives for 50+ engineers across Data, Data Operations, & Analytics, driving modernization of data platforms, warehousing, self-service tools, analytics, ETL, and related productsManage roadmap and OKRs for internal data platform, collaborating with engineering + utilizing low-code tools to migrate from legacy DB, batch-process real-time data, & drive $160M in cost efficiency + reductionImplement data mastering to centralize billing infrastructure & enable client-focused approach; supplied Marketing team with focalized data & reduced sync errors for client-facing web portal, driving $15M benefitOversee DataOps team to cultivate data management infrastructure, driving automated environment with defined version controls; enabled robust cross-team integration for faster product development cyclesBuild data, modernize legacy systems, & create customized features for client outage reporting tool; enable efficient fleet deployment + forecasting of system needs to drive CSAT & optimize resource allocation

Developed and scaled new products that accelerated pilots and collaborations with multiple partners and customers. Reduced the risk of data engagements by enabling experimentations and reducing time of data integrations, all while achieving the goal of increased revenue, improved customer satisfaction, and recognition as a key energy partner instead of just an energy provider. Key Contributions:-Responsible for strategy, development, socialization and adoption of a cloud based, API data delivery product that reduced collaboration set-up time from 6 months to 6 days, accelerating innovation and strategic partnerships across Southern Company operating companies and business units, $5M annual increasing returns. -Improved customer satisfaction across commercial and industrial customers through streamlined data access, improved data quality, and reduced data latency. -Empowered Southern Company’s Sales and Customer Engagement teams with new, actionable data from external sources. Improved signed partnerships by 15% in the first year. -Partner with information technology team to drive enhancements to the internal data governance model around data availability and data sharing.

Performed analysis of customer usage patterns, the fundamental building blocks of regulatory filing, planning, and marketing programs. Served as the internal data and research consultant to operating companies within the organization, and designed, supported, and refined data science projects.Key Contributions:-Conducted analysis, such as sampling, prediction modeling, and machine learning, produced visualization using SAS, R, and Power BI, and presented findings and strategic recommendations to senior executives.-Established relationships with cross-functional departments, including New Ventures, Energy Innovation Center, Research and Development, Marketing, Planning, Pricing and Rate Design, and Energy Efficiency, to solve problems and streamline operations using data science tools.-Facilitated data engineering from multiple relation databases managed by SQL and Oracle, and distributed file systems via Hadoop and Azure Cloud Data Lake/Delta Lake.-Enhanced company forecasting methods to address revenue shortage by generating an innovative model after completion of a multi-year forecasting study that explored effects of weather on residential energy usage on an hourly basis.