Data Product Owner

2 giorni fa

Parma, Italia Camlin Group A tempo pieno

**WHAT TO EXPECT DAY TO DAY**

You will implement the vision for data products and collaborate closely with business and stakeholders to understand business requirements and priorities to define the data roadmap.

You will be responsible for innovation and end-to-end launch of products.

You will work closely with engineering, product development, data engineering, data science, QA and business to effectively deliver. Foster collaboration across the organization, and throughout the product lifecycle.

You will support and design strong data products using raw data, derived data, and algorithms to engineer solutions with automation, decision support, decision-making functionalities, and machine learning.

In this role, you will be responsible for managing functional requirements, execution, and performance for new data products, as well as assisting our clients to deploy new AI solutions, while building a data-driven culture.

You will be the voice of the target users in the development team. You will deeply understand how they interact with our product, and how they use alternative products.

You will define key operational metrics and establish an efficient process to track progress and report regularly on these metrics to evaluate the product performance.

**WHAT YOU WILL NEED TO SUCCEED**
- 5+ years experience as a data engineer, data scientist or data product owner.
- Knowledge of Data Engineering/Data Science principles
- Knowledge of AI and ML products lifecycle
- Experience working on the delivery of big data projects
- Entrepreneurial flair to understand the business issues in the market and to develop relevant data products to meet demand
- Experience creating product roadmaps from conception to launch, implementing the product vision, defining go-to-market strategy, working with cross-functional teams.
- Experience with the performance evaluation for AI/ML products
- Ability to communicate with people at all levels (technical, C-suite, business,) to facilitate change, adaptability and team working

**QUALIFICATIONS**
- Master’s degree in Computer Science, Computer Engineering, Applied Mathematics, or related technical field, equivalent work experience will be considered.

**DESIRABLE**
- Extensive understanding of good data governance practises.
- Experience within integrating data solutions with established products.
- Experience with roadmap management.
- Domain knowledge of power distribution networks and operations is a plus.

**WHAT WE LOOK FOR**
- We seek out individuals who are always looking for new ways to improve or do things differently
- We expect you to be proactive and be prepared to share open and honest feedback regularly
- We know that working collaboratively will help us reach our shared goals faster, so we always look for similar individuals who will be willing to help others
- Whether it is our customers, our markets, or each other, we like people to ask questions and listen to the answers so we can all learn and improve
- We expect individuals to take responsibility for their actions and make decisions based on what is right for people, profit and planet

**COMPANY DESCRIPTION**

Camlin is a global technology leader that operates with the vision of bringing revolutionary products to life for a wide range of industries, including power and rail, and also has interests in a number of R&D projects in a variety of scientific sectors.

At Camlin we believe in high quality engineering and design, allowing us to develop market leading products and services. In short, we love creating value for our customers by solving difficult problems.

As of today, the Camlin operation spans over 20 countries across the globe.

**BENEFITS**
- Competitive salary
- Company Pension & Life Assurance Schemes
- Flexible / Smart Working
- Wellness programmes
- On-site parking

**EQUAL EMPLOYMENT OPPORTUNITY STATEMENT**

Individuals seeking employment at Camlin are considered without regards to race, colour, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, gender identity, or sexual orientation.

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