R&D Product Owner

03 ott - Parma
Rippling

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.
L'esperienza richiesta ai candidati, così come le competenze e le qualifiche aggiuntive necessarie per questo lavoro, sono elencate di seguito.
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 now, Camlin operates in over 20 countries worldwide.
About the roleWe are looking for aR&D; Product Ownerto drive the definition and resolution of complex data and analytics challenges in the energy domain.
In this role, you will work at the intersection ofdomain expertise, data, and advanced analytics, guiding discovery efforts that lead to solutions such as diagnostic models, algorithms, and data products.
You will be responsible for ensuring that theright problems are identified, framed, and solved, and that decisions are made based on evidence.
What makes this role unique:You will work onreal-world, high-impact industrial analytics
You will shapehow data and AI are applied, not just implement them
You will influence bothdiscovery and product direction
What you'll do:Work with business stakeholders to define high-impact analytical challenges related to the energy sector (e.g. assets monitoring systems, predictive systems)
Translate domain challenges into structured problem frames
Ensure analytical questions are clearly scoped and aligned with business priorities
Ensure analyses, experiments, and models are focused on answering the core question
Challenge assumptions and avoid premature solutioning
Define success criteria and evaluation frameworks
Assess results from analytics, models,



and experiments to validate they drive the expected value
Identify when initial problem framing is not feasible or not delivering value, and reframe it into achievable and valuable analytical questions
Ensure conclusions are robust, interpretable, and actionable
What you'll need:A degree in engineering, physics, math, or related fields.
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Experience working on data-driven insights where problem definition, evaluation, and decision-making were key responsibilities
Experience in analytics, modeling, or diagnostics
Experience in product or technical problem definition that aligns to clear business value
Strong problem structuring and analytical thinking
Ability to work withuncertain and incomplete information
Experience definingmetrics and evaluation frameworksto ensure business value and stakeholders alignment
Ability to communicate complex concepts clearly to different audiences
Comfortable working with data teams (no need to code, but technical fluency is expected)
Ability to make decisions and recommendations under uncertainty
Nice to have:Experience inenergy, utilities, or industrial assets
Familiarity with machine learning or statistical modeling
What success looks like:Problems and success criteria are clearly defined and aligned with business needs
The value of solutions is measurable and clearly communicated through agreed metrics
Discovery efforts lead toclear decisions and outcomes
High-value opportunities are identified and pursued
Unnecessary work is avoided through early validation
Our ValuesWe work together
We believe in people
We won't accept the 'way it has always been done'
We listen to learn
We're trying to do the right thing
Equal Employment Opportunity StatementIndividuals seeking employment at Camlin are considered without regards to race, colour, religion, national origin, age, sex, marital states, ancestry, physical or mental disability, gender identity or sexual orientation.
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