
1001 - 5000 employees
Founded 1993
🛡️ Insurance
📦 Logistics
💼 Consulting
💰 Debt Financing on 2022-07
Insurance • Logistics • Consulting
banco BV is a financial institution that offers a wide range of banking services to both individual consumers and businesses. It provides personal and corporate accounts, credit cards, loans, financing for vehicles and solar energy, insurance solutions, and investment services. The bank also focuses on digital solutions, such as mobile banking apps and open finance initiatives, to enhance accessibility and customer experience. As a versatile financial entity, banco BV caters to both private and corporate clients, providing comprehensive banking and financial services.
🔥 55 minutes ago
🗣️🇧🇷🇵🇹 Portuguese Required
Where this job comes from
Posted on banco BV's careers page ↗, not through a job board
First seen by Remote Rocketship 55 minutes ago
Still open on banco BV's site. Checked 23 minutes ago.

1001 - 5000 employees
Founded 1993
🛡️ Insurance
📦 Logistics
💼 Consulting
💰 Debt Financing on 2022-07
Insurance • Logistics • Consulting
banco BV is a financial institution that offers a wide range of banking services to both individual consumers and businesses. It provides personal and corporate accounts, credit cards, loans, financing for vehicles and solar energy, insurance solutions, and investment services. The bank also focuses on digital solutions, such as mobile banking apps and open finance initiatives, to enhance accessibility and customer experience. As a versatile financial entity, banco BV caters to both private and corporate clients, providing comprehensive banking and financial services.
• Lead discovery processes with users and stakeholders, conducting research, interviews, hypothesis validation, and product testing to identify needs and opportunities for improvement • Define and communicate the strategy, vision, and objectives for data products, establishing short- and long-term priorities aligned with business goals • Manage and prioritize product backlogs, organizing initiatives, features, and enhancements with a focus on value, impact, and outcomes • Translate business needs into functional and non-functional requirements, user stories, and acceptance criteria, ensuring clarity and alignment with technical teams • Define, monitor, and analyze product metrics and performance indicators, such as adoption, usage, quality, and value generation • Partner with business, engineering, data, and governance teams, fostering communication, negotiation, and alignment among stakeholders • Oversee the lifecycle of products and data, including collection, transformation, governance, quality, availability, and consumption • Structure problems and opportunities, leading continuous improvement initiatives and the evolution of data products • Communicate product results, metrics, and progress through analysis and storytelling, supporting decision-making
• Experience in product management, preferably involving data or technology products • Experience leading discovery, user research, hypothesis validation, and solution testing • Experience defining strategy and managing and prioritizing backlogs based on business objectives and value generation • Knowledge of requirements definition and refinement, user stories, and acceptance criteria • Knowledge of technology fundamentals, databases, SQL, and data engineering concepts, with the ability to engage with technical teams and understand solutions and architectures • Knowledge of the data lifecycle, including collection, transformation, governance, quality, and consumption • Ability to define, monitor, and interpret product metrics and outcome indicators • Experience with Agile methodologies such as Scrum and Kanban • Excellent communication, negotiation, and relationship-building skills with business functions and technical teams • Experience with data platforms and tools such as Databricks, BigQuery, and Power BI — a plus • Knowledge of data architecture, modeling, data engineering, Data Science, and Artificial Intelligence — a plus • Familiarity with data governance and quality concepts and tools, such as OpenMetadata — a plus • Experience with data storytelling, KPI definition, and product indicator analysis — a plus • Certifications in Product Management or Data Product Management — a plus • Experience working in multidomain environments and digital transformation projects — a plus
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