Product Operations Director

Dream Big.  Go Beyond. Be Unstoppable.
 

Kyriba is a global fintech leader empowering CFOs and finance teams with cloud-based treasury, payments, and risk management solutions. We serve 3,000+ customers worldwide, managing $15 trillion in payments annually and helping businesses optimize liquidity performance across the enterprise.

We're on a mission to become the most sought-after cloud technology company globally.  We think big, innovate relentlessly, and challenge the status quo every day. If you are a problem-solver who’s ready to push boundaries and achieve more than you thought possible-you'll find an exceptional career within an extraordinary business.

The Director of Product Operations & Analytics is a senior strategic leader who builds and leads the data infrastructure, operational frameworks, and launch operations that enable Kyriba's product organization to make data-driven decisions and operate with world-class excellence.

Reporting directly to the CPO, you will be a key member of the Product Leadership Team, partnering with Product Management to translate strategy into operational reality. You will own product performance analytics, R&D efficiency metrics, experimentation frameworks, and the tools and processes that make the product organization highly effective.

This is a strategic operational leadership role requiring both analytical excellence and organizational leadership. You will influence product strategy through data insights, drive operational excellence across the product org, and build a high-performing team that serves as the trusted analytics and operational partner to all Product Managers.

Product Analytics & Insights (30%)

Build world-class product analytics capability

• Establish comprehensive product performance dashboards for PMs, executives, and Board

• Implement and manage product analytics platforms

• Design and maintain data pipelines from products to analytics platforms

• Ensure data quality, accuracy, and governance across all product metrics

• Build self-service analytics capabilities for product teams

• Partner with Engineering on instrumentation strategy and data collection

Define and track strategic product metrics

• Product adoption and usage: DAU/MAU, feature adoption, engagement, stickiness

• Customer health: Product-driven retention indicators, expansion signals, churn predictors

• Business impact: Bookings attribution by product/feature, revenue influence, product-led growth

• Quality metrics: Bug rates, performance (latency, uptime), reliability, customer-reported issues

• Velocity metrics: Release frequency, time to market, deployment success rates

Commercial analytics and business insights

• Track TAM/SAM/SOM penetration by product and segment

• Analyze bookings attribution to understand which products and features drive revenue

• Identify retention drivers through cohort analysis and feature correlation

• Model pricing sensitivity and packaging effectiveness

• Support business case development with data and financial modeling

• Measure product-led growth (PLG) metrics and conversion funnels

Customer analytics

• Analyze customer usage patterns and behavioral segmentation

• Identify expansion and upsell opportunities through usage data

• Track customer health scores and at-risk indicators (churn prediction)

• Measure time-to-value and activation metrics

• Support customer research with quantitative data insights

• Create customer cohort analyses (by segment, acquisition date, size)

R&D Efficiency & Productivity (20%)

Drive R&D operational excellence

• R&D to ARR ratio: Industry benchmarking and optimization

• Development velocity: Story points, cycle time, throughput

• Feature delivery: Time from ideation to GA, release frequency, scope vs. plan

• Resource utilization: Engineering capacity allocation (features vs. tech debt vs. bugs vs. support)

• Cost per feature: Understanding development costs and ROI by initiative

• Technical debt: Tracking, trending, and impact on velocity

Engineering productivity analytics

• Sprint velocity and predictability trends by team

• Backlog health and aging analysis

• Cross-functional dependencies and bottleneck identification

• Release frequency and quality metrics (defect rates, rollback rates)

• Technical debt tracking and reduction progress

• Engineering satisfaction and capacity metrics

Portfolio optimization

• Product portfolio performance analysis (which products drive growth, margin)

• Investment allocation recommendations (where to invest R&D resources for maximum return)

• Build vs. buy vs. partner analysis with data

• Sunset and rationalization recommendations based on usage and business impact

Experimentation & Testing Framework (15%)

Build experimentation culture and infrastructure

• Design and implement A/B testing and experimentation framework

• Establish statistical rigor and best practices for product experiments

• Build tools and processes for running experiments (test design, analysis, learning capture)

• Train product teams on experimentation methodology and statistical literacy

• Track experiment portfolio, results, and learnings

Support data-driven decision making

• Help PMs design statistically valid experiments

• Provide statistical analysis and interpretation of results

• Build feedback loops to improve experimentation practice

• Track success rates and ROI of experiments

• Create experimentation playbooks and templates

• Evangelize experimentation culture across product org

Tools, Processes & Launch Operations (25%)

Product management tools & systems

• Own and manage product management tool stack:

  • Roadmap & backlog tools: Aha!, ProductBoard, Jira, Azure DevOps

  • Analytics platforms: Amplitude, Mixpanel, Tableau, Looker, PowerBI

  • Collaboration tools: Confluence, Miro, FigJam, Notion

  • Customer feedback: Pendo, UserVoice, Zendesk integration

  • Data platforms: Snowflake, BigQuery, data warehouse

• Ensure tools are integrated, adopted, and delivering value

• Optimize tool spend and vendor management

• Drive tool adoption and training

Process optimization and operational excellence

• Design and implement product operating rhythms (planning cycles, QBRs, sprint reviews)

• Create templates and frameworks for PMs (business cases, PRDs, launch plans, experiment designs)

• Standardize product processes across Platform and Applications teams

• Drive continuous improvement and efficiency gains

• Eliminate friction and waste in product workflows

• Document best practices and operational playbooks

Launch Operations & Enablement

• Create and maintain launch playbooks and tier framework (Tier 1/2/3)

• Facilitate cross-functional launch coordination for major releases

• Track launch readiness across functions (Sales, CS, Support, Operations)

• Measure launch effectiveness and drive improvements

• Provide program management support for Tier 1 launches

• Note: PMs still own launch strategy, content, and enablement delivery

Best practices and enablement

• Document product management best practices and standards

• Train PMs on tools, processes, and analytical frameworks

• Share learnings and insights across product org through regular knowledge sharing

• Champion data-driven culture and operational excellence

• Create onboarding programs for new PMs and POs

Strategic Insights & Executive Leadership (10%)

Executive and board reporting

• Prepare quarterly product performance reports for executive team and Board

• Create executive dashboards with key product and business metrics

• Synthesize insights and recommendations from data

• Support CPO with data for strategic presentations and decisions

• Track and report on product org OKRs and KPIs

Strategic analysis and influence

• Provide analytical support for strategic decisions (build vs. buy, market entry, pricing experiments)

• Conduct deep-dive analyses on critical product questions

• Model scenarios and forecast outcomes (what-if analysis)

• Support product strategy with data validation and market sizing

• Identify trends and patterns that inform product strategy

• Influence CPO and Product Leadership Team decisions through insights

Cross-functional partnership

• Partner with Finance on revenue forecasting and modeling

• Collaborate with Sales Ops on bookings attribution and pipeline analysis

• Work with Customer Success on health scores and retention analytics

• Support Marketing with product-led growth insights and conversion funnel analysis

• Partner with Engineering on productivity metrics and resource optimization

Our Values Guide Everything We Do

• Think Big & Constantly Innovate: We have the confidence to think big, embrace change, challenge the status quo, and continuously evolve - incorporating new technologies and driving industry progress.

• Put our Customers’ Needs First: We are passionate about delivering the highest value for our customers and supporting them with end-to-end care throughout their journey with us.

• Act with Integrity: Integrity is at the heart of everything we do. We take personal responsibility for our actions, own our decisions, and honour each other’s contributions. We empower each other through honesty, respect, trust and transparency.

• Work as One Team: We are driven by our common goals and share in each other’s successes and failures, learning and working together as a team where everyone can bring their best selves.

• Strive for Excellence while Having Fun: We enjoy tackling new challenges together, and revel in continuous improvement as we deliver, with ultimate professionalism, the very best for our customers, while exceeding our own expectations.

Kyriba offers a comprehensive compensation package, including a range of health, welfare and wellbeing benefits designed to support both your professional and personal life.

Kyriba believes that everyone has the ability to make an impact, and we are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship, and genetic information.

If you require a reasonable accommodation to complete any part of the application or interview process, or to perform essential job functions, please contact us at [email protected]. Requests will be handled confidentially and in accordance with applicable local laws.