Product Profitability & FinOps Specialist
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Key skills for this role
About the Role
Iberdrola seeks a Product Profitability and FinOps Specialist to own pricing, revenue, and cloud cost analysis for SaaS products. The role involves building pricing models, optimizing cloud spending, and creating dashboards.
Key Skills for This Role
Responsibilities
- Build and fine tune pricing and tariff models that reflect market realities and business goals.
- Support product teams in defining financial reports for their products.
- Master cloud and AI service spending, hunting down savings by right sizing resources, eliminating waste, and optimizing usage.
- Implement and enforce smart cloud governance, including a rock solid tagging strategy, so every dollar of cloud spend has an owner.
- Dig into total costs—including cloud infrastructure—to find savings and margin wins, then partner with the team to make it happen.
- Track and map every dollar flowing in and out of our product portfolio for full transparency.
- Work hand in hand with Product Managers and Engineers to weigh the financial impact of new features, pricing moves, and architectural choices.
- Help Operations decode cost drivers and resource use for maximum efficiency.
- Own financial KPIs and deep dive P&L reviews for both individual products and our full lineup.
- Create killer dashboards using Power BI and other tools to spotlight financial health, cloud consumption, and growth areas.
Requirements
- Bachelor’s Degree in Computer Science, Information Systems, Engineering, Business Administration, or a related field
- 5+ years of experience in technical delivery, SaaS implementation, solutions architecture, or technical account management
- Proven track record of successfully onboarding B2B enterprise customers with heavy data integration requirements
- Hands on experience navigating data ingestion pipelines, APIs, ETL processes, and complex data mapping/ontology mapping
- Experience working alongside sales or business development teams in a fast paced, high growth tech environment
Full Job Posting
Jobs To Be Done
- Build and fine tune pricing and tariff models that reflect market realities and business goals.
- Support the product teams when they need defining a financial report for their products: be the financial whizz of our Energy tools.
- Master our cloud and AI service spending, hunting down savings by right sizing resources, eliminating waste, and optimizing usage.
- Implement and enforce smart cloud governance, including a rock solid tagging strategy, so every dollar of cloud spend has an owner.
- Dig into total costs—including cloud infrastructure—to find savings and margin wins, then partner with the team to make it happen.
- Track and map every dollar flowing in and out of our product portfolio for full transparency.
- Work hand in hand with Product Managers and Engineers to weigh the financial impact of new features, pricing moves, and architectural choices.
- Help Operations decode cost drivers and resource use for maximum efficiency.
- Own financial KPIs and deep dive P&L reviews for both individual products and our full lineup.
- Create killer dashboards using Power BI and other tools to spotlight financial health, cloud consumption, and growth areas.
Education Requirements
- Bachelor’s Degree in Computer Science, Information Systems, Engineering, Business Administration, or a related field.
- Certifications in Project Management (e.g., PMP, Prince2, Scrum Master) are highly valued.
- Bonus points for certifications or coursework in Data Engineering, Cloud Architecture, or Database Management.
Experience
- 5+ years of experience in technical delivery, SaaS implementation, solutions architecture, or technical account management.
- Proven track record of successfully onboarding B2B enterprise customers with heavy data integration requirements.
- Hands on experience navigating data ingestion pipelines, APIs, ETL processes, and complex data mapping/ontology mapping.
- Experience working alongside sales or business development teams in a fast paced, high growth tech environment.
Skills and Competencies
- Delivery Management: Exceptional project management skills with the ability to herd cats, manage scope creep, and keep complex deployments strictly on schedule.
- Technical Fluency: Deep understanding of how data flows between systems. You don't need to write the code, but you must confidently discuss APIs, data ingestion, and ontology mapping with engineers.
- Product Mastery: Rapid ability to deeply understand our entire product portfolio and how different modules interact with customer data.
- Client Management: Excellent executive presence and communication skills. You can translate highly technical data requirements into clear business outcomes for stakeholders.
- Problem Solving: A proactive, "fix it first" mentality when dealing with data integration bottlenecks.
KPIs
- Time to Value (TTV): Reduction in the average number of days from contract signature to the customer's first successful use of AI insights.
- Onboarding Success Rate: Percentage of customer implementations delivered on time and within scope.
- Data Integration Efficiency: Reduction in manual interventions or rework required during the data mapping and ingestion phases.
- Customer Satisfaction (CSAT): High satisfaction scores specifically tied to the onboarding and delivery experience.
- Playbook Adoption: Successful creation and internal adoption of standardized delivery processes.
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