Data Analytics Advisor - Property & Casualty Insurance

ValueMomentum is a product development company. We have 25+ years in the market and we have products like Ifoundry, rating engine and Biz dynamics. We have been partnered with Guidewire, Duck Creek and Insurity . We have headquartered in NJ and PA. we have specialised in P&C insurance, we have 75+ clients implementing and delivering. we do have offshore development centres India, Canada, and UK. we have overall 6000+ employees overall the globe.

Job Responsibilities

• Lead and contribute to opportunity assessments and strategic proposal development, focusing on consultative engagement to identify and address key business challenges for P&C insurance clients.
• Develop and manage Point of View documents and solution proposals that align analytics-driven solutions with business objectives across the P&C insurance value chain.
• Demonstrate the business value of proposed solutions, ensuring alignment with strategic, operational, and tactical goals, while highlighting how advanced analytics can unlock measurable business impact.
• Lead scaling of pilots and POCs into long-term, transformative programs, driving continuous business value through data-driven decision-making.
• Collaborate closely with client teams to understand their needs and present Value Momentum’s analytics and consulting capabilities as strategic enablers of business transformation, rather than just product offerings.
• Conduct market and company-specific research to support opportunity identification, ensuring that solutions are tailored to client challenges and have a clear, quantifiable business impact.
• Lead the execution of PoCs for innovative ideas, respond to RFPs, and leverage market research to craft solutions that directly address client needs and drive business outcomes.

Education, Technical Skills & Other Critical Requirement

• 10-15 years of experience in analytics consulting, with a strong focus on the Insurance domain, particularly in Property and Casualty (P&C) insurance and advanced analytics solutions.
• Familiarity with advanced analytics tools, platforms, and technologies (e.g., machine learning, AI, big data, cloud technologies) specific to the insurance industry.
• Deep expertise in developing and implementing advanced analytics solutions tailored to the needs of the P&C insurance industry, with a proven ability to demonstrate how data-driven insights can address key business challenges and drive measurable business impact.
• Proven track record of consultative client engagement, with significant experience in leading strategic conversations that bridge technical capabilities and business needs, ensuring analytics solutions align with the client's long-term objectives.
• Strong experience in building and nurturing long-term client relationships, focusing on collaborative problem-solving and being a trusted advisor rather than a traditional vendor.
• Exceptional research and analytical skills to stay ahead of industry trends, market dynamics, and emerging technologies, ensuring solutions are both innovative and highly relevant to client needs.
• Proven ability to work with global, cross-functional teams, translating client business challenges into clear requirements for remote teams, while maintaining effective communication across diverse cultures and geographies.
• Leadership capabilities in managing cross-functional teams and working collaboratively in a matrix environment, ensuring successful solution delivery and client satisfaction across all stages of engagement.
• Advanced presentation and documentation skills, with a demonstrated ability to create impactful Point of View documents, proposals, and RFP responses that effectively convey the strategic business value of proposed analytics solutions.
• Proactive, results-driven mindset, with a strong inclination for continuous learning and adapting to new challenges and technologies in the analytics and insurance spaces.
• Good communication skills, both written and verbal, with the ability to engage effectively with a broad range of stakeholders, including senior business leaders, technology partners, practitioners, and client teams, ensuring clarity and alignment throughout the engagement process.
• Advanced certifications in data analytics, AI, or insurance-specific technology