Anne Grace

Here's a refined and prioritized summary of your content for an AI Leadership role:

AI Leadership & Strategic Impact:

• Drives significant revenue growth by owning and leading all Generative AI (GenAI) use cases for a major business portfolio (VBG), targeting $50M+ in 2024 revenue through sales and service personalization.
• Establishes and leads GenAI Centers of Excellence (COE), building internal capabilities, defining innovation intake processes, and developing common services leveraged across diverse portfolios.
• Forges strategic partnerships with leading vendors (Indeco, Prodapt, Fractal, HCL) and internal SMEs to accelerate capability building in GenAI and Predictive AI, aligning with overall company growth strategy.

Global Team Leadership & Development:

• Leads and scales a global team of 75+ diverse professionals, including Data Scientists, Data Analysts, Solution Integrators, and Technical Product/Process Managers.
• Cultivates high-performing teams through mentorship, guidance, and professional growth opportunities, fostering a positive work environment that boosts engagement, retention, and morale.
• Enhances team collaboration through clear communication, goal setting, and performance evaluations, driving collective success.

Strategic Alignment & Stakeholder Management:

• Serves as a key participant in annual leadership meetings, contributing to discussions on business priorities, budget allocation, and revenue projections, translating these into product-level "Big Rocks."
• Manages critical stakeholders across technical and business teams to ensure alignment on strategic priorities and to build comprehensive product roadmaps.
• Regularly presents product updates and portfolio performance to global leaders (CIO, CDO, SVP, VP) during key organizational and business review meetings.
• Drives delivery excellence for major business portfolios (Verizon Business, Consumer, Networks) through effective stakeholder management and leadership presentations.

Operational Excellence & Innovation:

• Implements innovative solutions to complex problems, significantly increasing productivity and streamlining operations.
• Improves project efficiency through strategic planning, optimized resource allocation, and robust time management practices.
• Manages budgets effectively, ensuring optimal resource utilization while maintaining financial stability.
• Fosters a culture of continuous improvement by empowering employees and facilitating cross-functional collaboration for enhanced decision-making.
• Developed high-performing teams by providing mentorship, guidance, and opportunities for professional growth.

• Focused on the consumer Portfolio which included both the existing customer and the prospects to improve their sales and service journey which will have a impact on improved customer experience or agent experience.
• Connect with the stakeholder to handle the product team which was focused more on the Consumer side which was focus on the key areas like Sales, Call volume reduction, NBX, Proactive resolution, Journey analysis.
• Enablement team focus was to partner with the Business team to collaborate and understand their business requirement at a high level and convert those into use case and build the roadmap at product level.
• Evaluation of the use cases with the business stakeholders to identify the impact of the business value like No. of deflected calls, increase in sales %, reduced churn % etc.
• Enablement team was focused more the data and insights generated data which is focused more on the business value.
• Involvement of the team along with the other internal stakeholders like Data engineering to build the data pipeline and work with MLE team to deploy the model and work with the business to measure the business benefits.
• Represent enablement team to update the leadership visit or meetings like OR meetings, Transformation Office.
• Planned and executed the hiring strategy, enabled and empowered the enablement team to create the brand value within and outside the organization.

• Transformed the data science engineering practice to 10 Million INR which is an considerable increase in the ROI and a phenomenal conversion rate.
• Played a role of a data strategist, advisor, and trainer. Partnered and Liaised with multiple data-driven organization to leverage our optimal data science solutions.
• Reshaped the internal process to ensure that our programs are at par with the industry needs and global standards and optimized the cost and improved the utilization, I have helped tech professionals get serious results in their quest for successful entrepreneurship and career advancement.
• Propelled ideation and innovation leading to implementation of multiple internal as well as client-service projects.
• Delivered foremost client service by shaping the internal team's delivery quality, performance, promptness and communication skills.

• Solved business problems using analytics and data science and delivered technical and operational excellence for clients across multiple domains - insurance, telecom, healthcare etc., leading to a profit margin of 5 Million USD.
• Built and trained data engineering and analytics group to support Exusia's descriptive analytics initiatives and implemented various PoC's for these initiatives.
• Played a key role in the Solution Architecture group and contributed various ideas for the Data lake based solution to handle unstructured and semi structured data.

• Solely responsible for end to end management of multiple data science and analytics projects involving various technologies such as Cloudera platform, ETL - Informatics, Talend, BI - OBIEE and Tableau.
• One of our key projects, 'Cloudera Platform Administration' involved data migration from Netezza and AWS S3 Storage to Cloudera platform. Majorly for commercial team's utilization.
• Exhibiting Technical leadership and building and running a high performing Data Science practice with low attrition. recruited and managed a team of over 40 people during my tenure in the organization.
• Played a key role in the innovation and Data Science research team, by contributing to multiple PoCs.

• Designed, managed and delivered a critical migration project by leading 12 member team, starting from requirements gathering, design to successful delivery, we set up log files and processed feeds from a source system data lake which was in ORC format, stored in a landing zone.

• Built a model to predict whether a patient will get re-admitted in the hospital within a span of 30 days after his discharge, this readmission prediction of a patient will help the hospitals to avoid hefty penalties for readmission within 30 days.

• Modernization of a mainframe system which had limitations to generate different types of financial report as per business demands, Developed Financial metric (FM) which provides information about NextGen and standard layer which was not supported by the legacy system.

• Drove an integration project to benefit MEDC, a Pharmacy Benefit Manager organization, with their acquisition of ESI (a PBM based at USA).
• CUF COVERAGE was about integrating the coverage rules of insurance plans from both the systems.

• PBM Interventions applications receive claim data submitted for WHI client members from the DSS and Promise systems. The claims were analyzed for use of targeted brand drugs, or brand drugs with an available generic equivalent, and flagged for intervention.
• Once flagged, PBM Interventions found the matching intervention program and associated participation/drug exclusions and processed the data against the information.

• Developed GENEVA a billing product used by British Telecom and Transferring feeds and MIS reports from the GENEVA to GIB (GIB was a replication server for GENEVA which was designed to reduce overhead processing on the primary server).