Senior Product Portfolio Manager (Data)

9 Minutes ago • 5 Years +
Product Management

Job Description

NICE is seeking a Senior Product Portfolio Manager (Data) to lead platform infrastructure cost optimization initiatives. This role involves developing and maintaining cost models for multi-cloud environments (AWS, Azure, GCP), creating predictive cost forecasting, and building cost attribution frameworks. The manager will define product strategy for cost management tools, develop roadmaps, and partner with engineering to integrate cost considerations into architectural decisions, leveraging AI, language models, and big data solutions.
Good To Have:
  • Contact center experience with multi-channel routing and data reporting responsibilities
  • Experience with project management and project communication techniques and tools
  • Experience in a high-growth technology company with significant cloud infrastructure spend
  • Background in platform engineering, SRE, or cloud architecture roles
  • Experience with FinOps practices and cost optimization methodologies
Must Have:
  • Develop and maintain comprehensive cost models for multi-cloud infrastructure (AWS, Azure, GCP)
  • Create predictive cost forecasting models for various data technology stacks (Kubernetes, Spark, Kafka, Snowflake, streaming platforms)
  • Build cost attribution frameworks to allocate infrastructure expenses across business units, products, and customer segments
  • Design and implement real-time cost monitoring dashboards and alerting systems for infrastructure spend
  • Track and analyze cost performance against budgets and forecasts, identifying variance drivers
  • Collaborate with engineering teams to implement cost-saving initiatives including rightsizing, auto-scaling, and reserved capacity strategies
  • Define product strategy for cost management tools and platforms used across the organization
  • Develop roadmaps for infrastructure cost optimization initiatives, balancing cost reduction with performance requirements
  • Partner with platform engineering teams to integrate cost considerations into architectural decisions
  • Bachelor's degree in Engineering, Computer Science, Business, or related field, or equivalent experience
  • 5+ years of product management experience, with 3+ years focused on infrastructure, platform, or technical products
  • Strong understanding of cloud infrastructure services and pricing models (AWS, Azure, GCP)
  • Experience with monitoring and observability platforms (DataDog, New Relic, Grafana)
  • Strong analytical skills with ability to work with large datasets and identify cost optimization patterns
  • Experience with data technology stacks including distributed computing frameworks, data pipelines, and analytics platforms
  • Proficiency in financial modeling and analysis tools (PowerBI, Excel, SQL, Python/R for data analysis)
  • Demonstrated experience building and maintaining cost monitoring and optimization programs
  • Experience taking to market an AI enabled data product
  • Experience communicating and presenting to executive leadership

Add these skills to join the top 1% applicants for this job

excel
data-analytics
cost-management
forecasting-budgeting
game-texts
aws
azure
new-relic
grafana
spark
kubernetes
python
sql

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.

Are you a Product Manager who loves taking on complex problems, breaking them down and inventing new ways to solve them? Do you love working on the cutting edge of technology using the latest AI, language models and big data solutions? If so, then NiCE is the place for you.

We are seeking an experienced Product Manager to lead our platform infrastructure cost optimization initiatives across our data technology platforms. This role combines product management expertise with deep technical understanding of cloud infrastructure, data engineering, and financial modeling to drive strategic cost efficiency while maintaining platform performance and reliability.

Key Responsibilities:

Cost Modeling & Analysis

  • Develop and maintain comprehensive cost models for multi-cloud infrastructure running on AWS, Azure, and GCP environments
  • Create predictive cost forecasting models for various data technology stacks (Kubernetes, Spark, Kafka, Snowflake, streaming platforms)
  • Build cost attribution frameworks to allocate infrastructure expenses across business units, products, and customer segments
  • Design and implement real-time cost monitoring dashboards and alerting systems for infrastructure spend
  • Track and analyze cost performance against budgets and forecasts, identifying variance drivers
  • Collaborate with engineering teams to implement cost-saving initiatives including rightsizing, auto-scaling, and reserved capacity strategies

Product Strategy & Roadmap

  • Define product strategy for cost management tools and platforms used across the organization
  • Develop roadmaps for infrastructure cost optimization initiatives, balancing cost reduction with performance requirements
  • Partner with platform engineering teams to integrate cost considerations into architectural decisions

Required Qualifications

  • Bachelor's degree in Engineering, Computer Science, Business, or related field, or equivalent experience
  • 5+ years of product management experience, with 3+ years focused on infrastructure, platform, or technical products
  • Strong understanding of cloud infrastructure services and pricing models (AWS, Azure, GCP)
  • Experience with monitoring and observability platforms (DataDog, New Relic, Grafana)
  • Strong analytical skills with ability to work with large datasets and identify cost optimization patterns
  • Experience with data technology stacks including distributed computing frameworks, data pipelines, and analytics platforms
  • Proficiency in financial modeling and analysis tools (PowerBI, Excel, SQL, Python/R for data analysis)
  • Demonstrated experience building and maintaining cost monitoring and optimization programs
  • Experience taking to market an AI enabled data product
  • Experience communicating and presenting to executive leadership

Experience Preferred:

  • Contact center experience with multi-channel routing and data reporting responsibilities.
  • Experience with project management and project communication techniques and tools.
  • Experience in a high-growth technology company with significant cloud infrastructure spend
  • Background in platform engineering, SRE, or cloud architecture roles
  • Experience with FinOps practices and cost optimization methodologies

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