Product Owner - Cloud Contact Center (CCaaS) & Data Platform

Company Description

BETSOL is a cloud-first digital transformation and data management company offering products and solutions to both enterprises and consumers. BETSOL’s Data Management product lines include Zmanda (Zmanda.com). BETSOL Global IT Services (BETSOL.com) builds and supports end-to-end enterprise solutions, reducing time-to-market for our customers. Our engineering team, with its several patents, delivers award-winning products and solutions in over 40 countries. Our work locations are set against the vibrant backdrops of Broomfield, Colorado and Bangalore, India. We take pride in being an employee centric organization. Learn more at betsol.com

Job Description

We are seeking an experienced Product Owner for a Cloud Contact Center (CCaaS) & Data Platform to lead backlog ownership, prioritization, work definition, and delivery planning for cloud-based contact center capabilities. This role serves as the primary liaison between Contact Center Operations, Product Management, Engineering, Architecture, Security, Infrastructure, and third-party technology partners.

You will translate business demand into implementation-ready work, facilitate cross-enterprise prioritization, manage a healthy backlog, and drive successful Program Increment (PI) planning and execution. The ideal candidate combines strong Product Owner execution skills with practical experience supporting Contact Center as a Service (CCaaS) platforms, cloud technologies, AI-driven customer engagement solutions, and large-scale Agile delivery practices.

The role focuses on capabilities supporting customer service operations including voice, digital engagement, conversational AI, call recording, workforce optimization, analytics, agent experience, and cloud platform enablement.

Responsibilities

Time is allocated roughly as follows:

• Backlog Ownership, Grooming and Prioritization: 35%
• User Story Development and Work Definition: 20%
• Cross-Enterprise Prioritization and Stakeholder Management: 20%
• PI Planning, Dependency Management and Agile Delivery: 15%
• Contact Center and CCaaS Platform Ownership: 5%
• Governance, Security and Compliance: 5%

Backlog Ownership, Grooming & Prioritization (35%)

• Own and maintain the Contact Center cloud/data platform backlog.
• Lead backlog refinement and grooming sessions across multiple delivery teams.
• Ensure a continuous pipeline of implementation-ready work exists for engineering teams.
• Prioritize features, enhancements, technical debt, compliance activities, and operational improvements based on business value and strategic objectives.
• Establish backlog health standards, work readiness criteria, and prioritization frameworks.
• Balance competing priorities across business, operations, architecture, infrastructure, and engineering organizations.

User Story Development & Work Definition (20%)

• Translate business demand into actionable user stories.
• Write clear, concise, implementation-ready user stories with detailed acceptance criteria.
• Partner with CCaaS IT product owners, architects, engineers, and business stakeholders to clarify requirements.
• Ensure work meets Definition of Ready standards prior to planning events.
• Facilitate requirements workshops and backlog refinement activities.
• Validate delivered functionality against business goals and customer outcomes.

Critical success factor: Demonstrated ability to independently create and refine implementation-ready user stories for complex cloud, contact center, and customer engagement solutions.

Cross-Enterprise Prioritization & Stakeholder Management (20%)

• Serve as the primary liaison between the platform scrum teams and technology delivery teams.
• Facilitate demand intake and prioritization discussions across enterprise stakeholders.
• Manage competing requests and negotiate tradeoffs between business objectives and technical constraints.
• Build alignment among Contact Center Operations, Digital Product Teams, Architecture, and CCaaS Platform Partners.
• Communicate roadmap priorities, delivery commitments, and dependency impacts.
• Drive consensus among diverse stakeholder groups.

PI Planning, Dependency Management & Agile Delivery (15%)

• Lead preparation activities for Program Increment (PI) Planning.
• Facilitate story readiness reviews and planning workshops.
• Coordinate dependency identification and resolution across multiple teams.
• Support quarterly planning, release planning, capacity planning, and roadmap execution.
• Partner with Scrum Masters, Engineering Managers, Architects, and Release Train Engineers.
• Drive risk identification and mitigation planning.
• Ensure alignment between strategic objectives and delivery commitments.

Critical success factor: Experience facilitating PI Planning events within SAFe or other scaled Agile frameworks.

Contact Center & CCaaS Platform Ownership (5%)

• Partner with CCaaS IT product owners to identify opportunities that improve customer and agent experiences.
• Support modernization and optimization initiatives across CCaaS and cloud platforms.
• Drive prioritization and delivery of capabilities including voice routing, omnichannel engagement, interactive voice response (IVR), digital messaging, call recording, quality management, workforce optimization, speech analytics, agent assist, conversational AI, and reporting and analytics.
• Collaborate with vendors and engineering teams to evaluate emerging platform capabilities.

Governance, Security & Compliance (5%)

• Ensure security, regulatory, and compliance requirements are incorporated into delivery plans.
• Partner with Architecture and Security teams on cloud governance initiatives.
• Support resiliency, disaster recovery, and operational readiness objectives.
• Ensure platform capabilities align with enterprise standards and controls.

Qualifications

Looking For

5+ years of Product Owner, Technical Product Owner, Product Management, or Agile Product Delivery experience, including 3+ years supporting cloud-based technology platforms.

Mandatory Skills

• Expert backlog ownership and backlog grooming - personally owned, not contributed to.
• Ability to independently write implementation-ready user stories
• Strong cross-enterprise facilitation and prioritization experience
• Experience leading PI Planning and quarterly planning events
• CCaaS/contact center technology experience
• Google Cloud Platform, AWS, or Azure experience (GCP preferred)
• Ability to manage cross-team dependencies and influence without authority
• Strong communication skills with both executive and technical stakeholders
• Experience supporting customer experience and contact center transformation initiatives

Skill Detail

A. Agile Product Ownership

• Product backlog ownership and refinement.
• User story development, feature definition, and acceptance criteria creation.
• Sprint planning, release planning, quarterly planning, and Program Increment (PI) Planning.
• Dependency management, Agile metrics, and delivery forecasting.
• Experience facilitating cross-functional prioritization across business and technology organizations.
• Experience supporting large-scale Agile delivery programs.
• Proven experience leading backlog grooming, story refinement, and work decomposition.
• Experience supporting Contact Center technologies, customer engagement platforms, or customer service operations.

B. Contact Center & CCaaS

Working knowledge of the following contact center capabilities:

• Automatic Call Distribution (ACD)
• Interactive Voice Response (IVR)
• Omnichannel routing and skills-based routing
• Agent desktop applications
• Workforce Management (WFM) and Workforce Optimization (WFO)
• Quality Management (QM)
• Call recording
• Speech analytics
• Email, chat, SMS, and social engagement platforms

C. Cloud & Data Platform (Function-Based)

The core requirement is specify-and-verify fluency with data pipelines — understanding data well enough to write requirements to engineers and verify output.

• Data pipeline / ETL tooling (e.g., GCP Dataflow, AWS Glue, Azure Data Factory)
• Event/message queuing (e.g., GCP Pub/Sub, AWS SNS/SQS, Azure Service Bus)
• Serverless compute for data workflows (e.g., GCP Cloud Functions/Cloud Run, AWS Lambda, Azure Functions)
• Data warehousing & analytics (e.g., GCP BigQuery, AWS Redshift, Azure Synapse)
• Container orchestration, where relevant (e.g., GKE, EKS, AKS)
• Monitoring, logging, and Identity & Access Management (IAM) equivalents across platforms

D. Integration & Engineering

Working knowledge of:

• REST APIs
• Microservices architecture
• Event-driven architecture
• Kafka and Pub/Sub messaging
• CI/CD pipelines and DevOps practices
• ServiceNow integrations
• CRM integrations

E. Analytics & Reporting

Experience utilizing BigQuery, Tableau, Power BI, Looker, contact center analytics platforms, and operational KPI dashboards, with an understanding of contact center metrics including:

• Service Level
• Average Speed of Answer (ASA)
• Average Handle Time (AHT)
• First Contact Resolution (FCR)
• Abandonment Rate
• Customer Satisfaction (CSAT)
• Net Promoter Score (NPS)
• Agent Utilization

F. Soft Skills

• Strong communication with both executive and technical stakeholders.
• Ability to influence without authority and manage cross-team dependencies.
• Strong facilitation and problem-solving skills.

Good to Have

• Preferred certifications: Certified Scrum Product Owner (CSPO), SAFe Product Owner/Product Manager (POPM), and/or SAFe Agilist (SA).
• Experience supporting one or more preferred CCaaS platforms: Five9, Quality Management (Verint), Workforce Management (Verint, Aspect, NICE).
• Experience supporting customer experience and contact center transformation initiatives.

Education

Bachelor's degree in Computer Science, Engineering, Information Technology, Business, or a related field. Equivalent experience may be considered.

Additional Information

Ideal Candidate Profile

The ideal candidate is an execution-focused Product Owner who personally owns their backlog, independently writes implementation-ready user stories and acceptance criteria, and understands contact center data well enough to specify requirements to engineers and verify delivered output — regardless of which cloud platform (GCP, AWS, or Azure) is in use. They facilitate enterprise prioritization discussions and, ideally, PI Planning activities, and can successfully align Contact Center Operations, engineering teams, and cloud platform capabilities to deliver measurable business outcomes.