Finance and Insurance Analytics, Director

Role:

• Defining and framing business problems
• Identifying relevant data sources
• Designing and developing analytical models
• Validating model performance and effectiveness
• Leading product deployment and launch initiatives
  

Scope:

Responsibilities

• Provide strategic leadership and oversight for the Finance and Insurance Analytics teams located in the U.S. and India.
• Drive Finance modernization initiatives within the Global Data Insight and Analytics (GDIA) organization.
• Deliver actionable insights through clear, compelling communication with business stakeholders and executive leadership.
• Foster effective collaboration and negotiation across all levels of the organization to achieve business outcomes.
• Partner with Product Line Owners to generate demand and align requirements with broader business objectives.
• Establish priorities, allocate resources, and ensure high-quality and timely delivery of all associated projects.
• Act as a key liaison for technical collaboration between Finance and Insurance Analytics and other GDIA departments including DPE, AIAC, ISA, and SSDA.
• Lead strategic optimization of team resources and budgetary planning.
• Anticipate future business needs and translate them into actionable initiatives and analytics projects.
• Oversee recruitment, onboarding, and professional development of team members to foster a high-performing, diverse workforce.
• Actively participate in hiring efforts and promote diversity, equity, and inclusion across the department.
  

Qualifications

• Proven hands-on expertise in Artificial Intelligence, with deep domain knowledge of Finance Modernization strategies and initiatives
• Skilled in leveraging big data technologies including SQL, Spark, and Hive to drive business insights
• Extensive experience with Google Cloud Platform and associated tools such as Python, Spark, Dataflow, BigQuery, GitHub, Qlik Sense, CPLEX, Mach1ML, and Power BI
• Demonstrated success in developing and deploying analytical models within cloud-based environments, particularly GCP
• Well-versed in advanced AI disciplines including Natural Language Processing (NLP), Deep Learning, and modern neural network architecture such as CNNs, RNNs, Embeddings, Transfer Learning, and Transformers
• Strong capabilities in business engagement, with a track record of translating complex problems into structured, impactful solutions
• Known for a meticulous attention to detail and a strong drive toward continuous improvement
• Adept at balancing innovation and analytical rigor, applying logical, methodical problem-solving approaches to dynamic challenges
• Highly articulate and credible communicator with strong presentation and interpersonal skills, able to influence at all levels of the organization
• Effective at managing multiple priorities, while maintaining high-quality outputs in fast-paced environments
  

Desired: