14 дней назад
Product Manager Credit & Surety (Insurance Analytics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Product Manager Credit & Surety (Insurance Analytics): Define and lead underwriting analytics platforms that support data-driven insurance decision-making with an accent on product strategy, cloud-native data architecture, and AI/ML enablement. Focus on modernizing analytical tooling, integrating data pipelines and models into underwriting workflows, and delivering reliable, auditable systems with measurable business outcomes.
Location: Bangalore, Karnataka, India; hybrid work with at least three days per week in the office
Company
provides reinsurance, insurance, and insurance-based risk transfer solutions, serving property and casualty as well as life and health markets.
What you will do
- Define the multi-year product vision, roadmap, backlog, and KPIs for underwriting analytics platforms.
- Align underwriting strategy with scalable analytics capabilities and measurable business outcomes.
- Partner with engineering, data architecture, and AI/ML teams to build reliable, modular, cloud-native platforms.
- Lead cross-functional squads through discovery, design, development, deployment, monitoring, and iteration.
- Modernize legacy analytical tools and integrate data pipelines, ML models, dashboards, APIs, and underwriting workflows.
- Drive adoption, change management, responsible AI use, explainability, and continuous product improvement.
Requirements
- Bachelor’s or master’s degree in computer science, engineering, data science, mathematics, or a related quantitative field.
- 7+ years of experience in data product management, technical product leadership, or platform ownership in data-intensive environments.
- Strong understanding of software engineering, modern data architectures, distributed systems, data pipelines, and cloud-native platforms.
- Technical fluency in Python, PySpark, SQL, APIs, Snowflake, and platforms such as Palantir Foundry, Azure, GCP, or AWS.
- Experience leading engineering and analytics teams and delivering data products or decision-support systems.
- Experience in insurance, reinsurance, financial services, or risk management, including underwriting, pricing, or portfolio steering.
Nice to have
- Experience embedding AI/ML models into production decision systems.
- Experience with enterprise data lakes, large-scale AI/ML deployments, and agile global matrixed organizations.
- Experience mentoring product managers and technical talent.
Culture & Benefits
- Hybrid work model with regular office collaboration.
- Global, matrixed environment combining underwriting expertise, advanced analytics, and modern engineering.
- Opportunities to shape engineering standards, platform evolution, and talent development.
- Inclusive workplace focused on equal opportunities, professional development, innovation, and sustainability.
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