Gigaforce - Product Manager - Data Management

3.0 years

0.0 Lacs P.A.

Noida, Uttar Pradesh, India

Posted:1 week ago| Platform: Linkedin logo

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Skills Required

datamanagementsaasblockchainprocessingtechnologycuttingpowerailearningautomationjavakotlinangularnode.jsengineeringdesignleadershipagilevisionoptimizationstrategyanalyticstestingexperimentationgovernancecompliancedevelopmentanalysissqlpythonexcelvisualizationtableauleanscrum

Work Mode

Remote

Job Type

Full Time

Job Description

This is a Noida based position and has a 5 day WFO policy. There is no remote option, so please do NOT apply unless you are in the NCR or willing to relocate. This position lays emphasis on data, so please apply ONLY if you have the relevant qualifications and experience. About Gigaforce is a California-based InsurTech company delivering a next-generation, SaaS-based claims platform purpose-built for the Property and Casualty industry. Our blockchain-optimized solution integrates artificial intelligence (AI)-powered predictive models with deep domain expertise to streamline and accelerate subrogation and claims processing. Whether for insurers, recovery vendors, or other ecosystem participants, Gigaforce transforms the traditionally fragmented claims lifecycle into an intelligent, end-to-end digital experience. Recognized as one of the most promising emerging players in the insurance technology space, Gigaforce has already achieved significant milestones. We were a finalist for InsurtechNY, a leading platform accelerating innovation in the insurance industry, and twice named a Top 50 company by the TiE Silicon Valley community. Additionally, Plug and Play Tech Center, the worlds largest early-stage investor and innovation accelerator, selected Gigaforce to join its prestigious global accelerator headquartered in Sunnyvale, California. At the core of our platform is a commitment to cutting-edge innovation. We harness the power of technologies such as AI, Machine Learning, Robotic Process Automation, Blockchain, Big Data, and Cloud Computing - leveraging modern languages and frameworks like Java, Kotlin, Angular, and Node.js. We are driven by a culture of curiosity, excellence, and inclusion. At Gigaforce, we hire top talent and provide an environment where every voice matters and every idea is valued. Our employees enjoy comprehensive medical benefits, equity participation, meal cards and generous paid time off. As an equal opportunity employer, we are proud to foster a diverse, equitable, and inclusive workplace that empowers all team members to thrive. As a Data-Driven Product Manager at Gigaforce, you will play a crucial role in crucial role in leveraging data to inform product decisions and optimize business outcomes. You will be responsible for owning the product lifecycle, from ideation through launch, while working cross-functionally with engineering, design, sales, customer success, and leadership teams. In this agile environment, you'll work within structured sprints and leverage data-driven insights and user feedback to guide decision-making. You'll balance strategic vision with tactical execution to ensure we continue to lead the industry in subrogation automation and claims optimization for the property and casualty insurance market. Key Responsibilities Define and execute a data-driven product strategy aligned with business goals. Utilize data analytics to identify trends, customer behaviors, and opportunities for product improvements. Collaborate with data scientists, engineers, and business teams to develop data-centric solutions. Establish and track key performance indicators (KPIs) to measure product success. Conduct A/B testing and experimentation to validate product hypotheses. Ensure data governance, compliance, and ethical usage in product development. Translate complex data insights into actionable product decisions. Advocate for data literacy across the : 3+ years of experience in data-driven product management, ideally in a SaaS or InsurTech environment. Strong proficiency in data analysis tools (SQL, Python, Excel, etc.). Experience with data visualization platforms (Tableau, Power BI). Knowledge of machine learning concepts and predictive analytics. Ability to interpret and communicate data insights to non-technical stakeholders. Expertise in product management frameworks (Agile, Lean, Scrum). Understanding of data infrastructure, pipelines, and governance. (ref:hirist.tech) Show more Show less

GIGAFORCE
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