Data-Driven Product Strategist

1 day ago

Noida, Uttar Pradesh, India beBeeProduct Full time US$ 1,20,000 - US$ 1,50,000

Gigaforce is a cutting-edge InsurTech company. Its innovative solution integrates blockchain-optimized technology with artificial intelligence (AI)-powered predictive models to streamline and accelerate subrogation and claims processing.

As a recognized emerging player in the insurance technology space, Gigaforce has achieved significant milestones. It was a finalist for InsurtechNY and twice named a Top 50 company by the TiE Silicon Valley community. Additionally, Plug and Play Tech Center selected Gigaforce to join its prestigious global accelerator headquartered in California.

Data Driven Product Manager Job Description:

The Data-Driven Product Manager plays a crucial role in leveraging data to inform product decisions and optimize business outcomes. This position is responsible for owning the product lifecycle, from ideation through launch, while working cross-functionally with engineering, design, sales, customer success, and leadership teams.

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 organization.

Required Skills and Qualifications:

  • A minimum of 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).
  • Experience in any cloud environment (AWS, Azure, Google).
  • 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.
  • Knowledge of machine learning concepts and predictive analytics.

Benefits:

This role offers the opportunity to work with a talented team and contribute to the growth and success of the company.

Others:

Please note that this job description may be subject to change.

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