Must have

• Business analysis

• Project management

• Agile

• Scrum

• Data analysis

• Data management

• KYC

• CDD

• Stakeholder management

• English

Nice to have

• Architecture

• systems integration

Requirements description

• Extensive experience in a digital, technical or user centric product role (Product Owner or Product Manager) mixed with experience in an architecture or technical role in a data context
• The skill and capability required to succeed in this role crosses business and technology in a way that few others do. Probably you will have had roles in technical support, testing or systems integration that exposed what happens when people get data issues wrong
• You will spend significant time with Enterprise, Solution and Data Architects and will be comfortable discussing data issues with them and with developers
• Ability to identify intended benefits and outcomes to assist in prioritisation process, and illustrate excellent decision making skills to inform road map development
• Must have a strong background in onboarding and KYC/CDD solutions or similar products preferably in a systems integration or data mastering related capacity
• Ability to positively influence, engage and collaborate with stakeholders at all levels, including high value customers, suppliers / vendors, and other internal Product teams
• Experience leveraging financial information to monitor costs and/or make commercial decisions to drive value
• Demonstrable management and critical decision-making experience in a regulated industry
• Confidence to experiment, test ideas, and share learnings and insights
• Strong analytical, problem solving, process design, and requirements gathering skills along with knowledge of Project Management, Business Analysis, and / or Software Development Lifecycle - ideally in an Agile / Scrum environment

Offer description

Creating an inspiring place to thrive for the talented, we use their expertise and courage to introduce the technology of the future into your business. - This is the foundation of Mindbox and the goal of our business and technology journey. We operate and develop in four areas:

🤖 Autonomous Enterprise - automation of business processes using RPA, OCR, and AI.

🌐 Business Managment Systems ERP - we implement, adapt, optimize, and maintain flexible, safe, and open ERP of production and distribution companies worldwide.

🤝 Talent Network - we provide access to the best specialists.

☁️ Modern Architecture - we build integrated, sustainable, and open CI / CD environments based on containers enabling safe and more frequent delivery of proven changes in the application code.

We treat technology as a tool to achieve a goal. Thanks to our consultants' reliability and proactive approach, initial projects usually become long-term cooperation. For over 16 years, it has provided various services to support clients in digital transformation.

#LI-Hybrid

We offer:

• We are open to the employment form according to your preferences
• Work with experienced and engaged team, willing to learn, share knowledge and open for growth and new ideas
• Hybrid working system - 2 days / week from office in Kraków
• Mindbox is a dynamically growing IT company, but still not a large one – everybody can have a real impact on where we are going next
• We invest in developing skills and abilities of our employees
• We have attractive benefits and provide all the tools required for work f.e. computer
• Interpolska Health Care, Multisport, Warta Insurance, training platform (Sages)

Your responsibilities

1. Delving deep into the myriad systems and processes the bank uses to capture and process customer data across all its lines of business, you will develop an understanding of how we collect and use data and how we can improve our processes and systems to maximise its utility and quality while reducing our demands on customers to supply it.
2. Empathising with internal business customer by actively listening to feedback, analysing usage data, identifying unmet internal and bank customer needs and opportunities for improvement to optimise how we collect and use customer data
3. Establishing a clear data strategy and vision for the value stream that represents the need and wants of our internal customers to drive business value whilst communicating the value stream vision to business colleagues, Engineering, Architecture, delivery teams and stakeholders.
4. Optimise value stream product costs to deliver customer and commercial value from our data related services, leveraging Total Cost of Ownership (TCO) mechanisms, data and insights.
5. Developing and communicating a compelling data product strategy that is aligned to an overall technology strategy, leveraging strategic vendor engagement and potential future direction.
6. Translating the vision and strategy into a product backlog for various data services (feature writing and Story writing, backlog slicing), along with identifying Minimum Viable Product (MVP), planning releases and delivery roadmaps for the product.

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