Product Operations Director, Kyriba
Salary not provided
Tableau
Looker
Power BI
Azure
Amplitude
Snowflake
BigQuery
Zendesk
JIRA
Mixpanel
Confluence
Miro
Notion
Productboard
Senior and Expert level
London
Liquidity performance platform
Job no longer available
Liquidity performance platform
1001+ employees
FintechB2BPaymentsAnalyticsSaaS
Job no longer available
Salary not provided
Tableau
Looker
Power BI
Azure
Amplitude
Snowflake
BigQuery
Zendesk
JIRA
Mixpanel
Confluence
Miro
Notion
Productboard
Senior and Expert level
London
1001+ employees
FintechB2BPaymentsAnalyticsSaaS
Company mission
To help companies transform their liquidity management and use it as a strategic advantage.
Role
Who you are
- 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
- This is a strategic operational leadership role requiring both analytical excellence and organizational leadership
What the job involves
- 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
- 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
- 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
- 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
- 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
- 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)
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
Salary benchmarks
Our take
Now more than ever, businesses require rigorous financial health checks in order to plan for a sustainable future. Kyriba’s platform provides CFOs, corporate treasurers and IT analysts with the tools to connect, protect, forecast and improve their company’s liquidity.
Kyriba's solutions support financial self-analysis, offering actionable insights surrounding a businesses liquidity and short-term health. With 24 years of experience, it offers a strong alternative to traditional bank advice for corporations seeking to improve their financial well-being.
Kyriba’s risk management, treasury management, payments and connectivity products have seen the company process $15 trillion in payments annually. It has raised considerable funding which supports it to broaden its reach and help more companies of all sizes assess and improve their liquidity.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Led by a woman
Top investors
Company
Funding (last 2 of 9 rounds)
Sep 2017
$43.8m
SERIES E
Sep 2016
$23m
SERIES D
Total funding: $151.3m
Company benefits
- Responsible Time Off - We trust and support our employees to take the time off that they need to work at their very best
- Company Matching 401K - We care about your financial future and want to help you plan for it in any way that we can
- Excellent Insurance Plans - Whether it’s medical, dental, or life insurance plans, including HSA and FSA account options, we have you covered
- Wellness Platform Incentives - From yoga to tennis, 5ks to book clubs, we have a holistic wellness program to help you stay happy and healthy, every day
- Disability Insurance - We will do everything we can to improve your care in the event of short-term or long-term disability
- Employee Assistance Programs - We have several programs to help set you up for success, both in and out of the office
- Legal Services - A highly experienced legal team is available to assist and support you in legal matters
- Pet Insurance - Pets are family. So from dogs to cats, birds to turtles, we want you to know that we’ve got your pet family covered
Company HQ
University City, San Diego, CA
Leadership
Melissa Di Donato
(CEO & Chair)Also a Small & Medium Enterprise Digital Adoption Task Force Member at the Department for Business and Trade. Previously a Member of the Advisory Board at Porsche AG, INED at JPMorgan Chase & Co and Founder at Inner Wings.
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