Product Manager

You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients.
As a Product Manager in Consumer and community banking, you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. As a core leader, you are responsible for acting as the voice of the customer and developing profitable products that provide customer value. Utilizing your deep understanding of how to get a product off the ground, you guide the successful launch of products, gather crucial feedback, and ensure top-tier client experiences. With a strong commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations.
Job responsibilities
- Define and execute product strategy, roadmap, and priorities for enterprise data platform capabilities.
- Partner with engineering teams to deliver scalable, reliable, and secure data solutions that support business, analytics, and AI use cases.
- Gather customer and stakeholder feedback to identify platform enhancements, emerging needs, and innovation opportunities.
- Create and manage product backlogs, requirements, and success metrics.
- Drive adoption of modern data engineering practices and cloud-native platform capabilities.
- Collaborate with data scientists, architects, engineers, and business stakeholders to ensure data platforms support AI and machine learning workloads.
- Evaluate emerging technologies and industry trends to inform product strategy and investment decisions & Define measurable business outcomes and monitor product performance against established objectives.
- Communicate product vision, roadmap progress, and strategic recommendations to senior leadership & Support planning, prioritization, and execution of platform modernization initiatives.

Required qualifications, capabilities, and skills

- 5+ years of experience or equivalent expertise in in Product Management, Technology, Data Platforms, Software Engineering, or a related field.
- Strong understanding of cloud computing concepts and modern platform architectures & Proven experience delivering enterprise-scale technology or data platform products.
- Experience working with large-scale data processing, data integration, analytics, or data platform solutions.
- Familiarity with modern data engineering technologies such as Spark, PySpark, Databricks, or similar distributed processing frameworks.
- Experience with enterprise data platforms, data lakes, metadata management, or data governance solutions.
- Understanding of machine learning concepts and AI-enabled business capabilities & Experience supporting products, platforms, or solutions used for analytics, machine learning, or generative AI workloads.
- Ability to define product requirements that enable AI-ready data assets, model development, or data-driven decision makin & Familiarity with modern AI ecosystem concepts such as MLOps, feature engineering, model lifecycle management, or AI governance.
- Experience partnering with engineering and data science teams to deliver AI-enabled capabilities & Knowledge of Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), or related AI technologies.