02 oct
|
Farmers Insurance
|
Ciudad de México
02 oct
Farmers Insurance
Ciudad de México
Farmers– where ambition meets opportunity.
Farmers is known for more than its unforgettable jingle – it’s a team with a passion for purpose and making a real difference in people’s lives. Farmers employees deliver peace of mind when it matters most. The organization’s results-driven, high-performance culture thrives on creativity, accountability and bold solutions. Here, growth isn’t just a goal – it’s a way of life for both the organization and every individual on the team. Farmers employees tackle challenges head-on, learn from every experience and measure their impact on the customers who trust them.
Join us and help power the success of Farmers. As a team member, you’ll collaborate with Farmers’ award-winning workforce, benefit from a culture of innovation and support and contribute to their mission of delivering protection and peace of mind to millions of U.S. customers.
Ready to make your mark? Discover Farmers’ vibrant culture and explore career opportunities at www.Farmers.com/careers/corporate.
Job Summary
We are seeking a highly skilled Technical Program Manager specializing in Data & Analytics space. In this role, you will bridge the gap between business strategy and deep technical execution. You will oversee Medium to large-scale data initiatives, align cross-functional engineering teams, and deliver robust data infrastructure that powers actionable business insights and advanced analytics. The idóneo candidate combines strong program management expertise with a solid understanding of modern data ecosystems, cloud technologies, and analytics platforms. You will partner closely with engineering, architecture, data science, business intelligence, and business stakeholders to deliver impactful, data-driven solutions that enable informed decision-making and business growth.
Essential Job Functions
• Provides management of data infrastructure for all major modeling projects.
• Manage requirements for data enhancements needed to improve analytics and/or
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