County Dublin, Ireland
With over seven years of experience in revenue management and SaaS, I specialize in leading revenue strategy and planning within high-growth environments. As a Senior Revenue Operations Manager at Personio, I oversee company-wide revenue planning, including MRR targets, pipeline coverage, productivity metrics, and forecasting methodology. Partnering with Revenue and Finance leadership, my focus is on driving clarity in strategic decision-making and ensuring data-driven insights inform leadership at every level. My expertise spans GTM planning, quota and territory design, headcount modeling, and forecasting governance. I leverage tools such as SQL, Snowflake, and Tableau to build scalable revenue models, turning complex data into actionable strategies. Committed to analytical rigor and operational excellence, I collaborate with cross-functional teams to define metrics, identify risks, and deliver clear, executive-ready insights that shape impactful decisions.
• Own company-wide top-down and bottom-up revenue planning across New Business, including MRR, pipeline, capacity, and productivity (Deals per FTE), supporting exec and board-level decisions. • Lead annual and quarterly GTM planning cycles across segments and regions, translating strategy into targets, coverage models, and headcount plans. • Own forecasting accuracy and operating cadence, defining forecast methodology, stage-level assumptions, and early-risk signals to drive timely intervention. • Act as the senior analytical partner to Revenue leadership, diagnosing pipeline health, early-stage loss drivers, win-rate shifts, and competitor pressure. • Build scalable revenue and scenario models using SQL, Snowflake, Google Sheets, and applied AI to support long-horizon planning, downside risk analysis, and strategic trade-offs. • Define and govern core revenue metrics and data definitions across Salesforce and the data warehouse, improving forecast consistency and executive trust in numbers. • Deliver executive-ready insights via insight memos and ad-hoc analysis, turning complex data into clear actions.
• Supported a strategic realignment of HubSpot's Partner Sales organisation (Re-org), collaborating with Finance, HR, Product, and Sales Operations, resulting in notable improvements in operational efficiency and market positioning. The project involved role reassignment in support of HR, designing, main business objective (MBO), target design, territory management, rules of engagement adjustments and reporting & operations foundations for the new org. Reorg supporting 200+ sales reps. The project spanned 9 months and resulted in improved sales productivity & 20% increase in effective sales acceleration demand sourcing. • Developed and executed go-to-market strategies that enhanced EMEA sales performance, leveraging insights from cross-functional collaboration with executive leadership. • Coordinated cross-functional initiatives to achieve growth goals, leading to measurable sales efficiency and productivity improvements. • Led in core sales operations practices: territory design, comp design, quota setting, and business analytics. A/B tested models to align on business objectives. • Built forecasting models with industry best practices & data modelling techniques, improving Partner forecasting accuracy by 15%. • Implemented sales growth projects and sales enablement programs. • Conducted analysis of leading/lagging indicators to drive strategic initiatives for growth. • Expertise in SQL, data modelling, Looker & Looker Studio, combining disparate datasets & building scalable solutions that can be easily extended and expanded. • Presented recommendations to executives and sales management by combining thorough quantitative analysis with relevant outside perspectives and industry best practices to drive growth and data-driven decision-making. • Senior team member responsible for stakeholder management (director +) & comms, triaging new requests, advising junior team members and DIBs leader across the wider Sales Strategy team.
• Led and provided recommendations on decision-making projects that impacted LinkedIn's future go-to-market model • Managed end-to-end leadership of all planning processes including headcount, financial plan, territory plan, and quota planning at scale • Served as a liaison and POC for EMEA/LATAM L&E sales leadership teams across multiple geographies • Directed strategic projects to determine the direction of the global L&E SOPs team and establish operating priorities for business growth • Built strong working relationships with peers in other Sales Operations teams and cross-functional partners (business operations, sales leadership, HR, finance, and systems teams) to achieve objectives • Contributed to the "people-first" culture of the team by taking on projects to drive team engagement and motivation • Utilized data and insights to influence and drive sound decision making, and presented findings to senior executives • Built strong partnerships and collaborated with stakeholders to drive business growth • Proficient in using Tableau, SQL and/or Presto, Anaplan to solve complex problems and drive high-priority strategic initiatives • Demonstrated excellent communication skills and ability to present effectively to senior executives Proven ability to disrupt the norm and find creative solutions to help the business win.
•Leverage LinkedIn’s unique data to drive insights and learnings which address our clients' business challenges. •Develop scalable self-serve tools and data driven narratives for internal stakeholders. •Partner as a strategic advisor to large enterprise clients in EMEA. •Owning and partnering on advanced analytical projects that redefine how analytics is used in the global organization with a primary focus on internal operational excellence to identify future whitespace opportunities. •Coaching and up-skilling team members both locally and globally in core areas such SQL, Python, machine learning, business engagement, business strategy and storytelling with data.
•Interrogate databases to extract necessary data and visualize findings using SQL, Hive, Hadoop, Presto, Excel, PowerPoint, Tableau or other data visualization software. •Client facing role aimed to deliver and present bespoke client data driven narratives in order to help some of Linkedin’s high value clients achieve success on the platform. Acting as a strategic partner for their hiring strategies and company branding. •Consulting cross-functional partners in the area of data-driven Insights to ensure Linkedin clients are informed of the best approach for achieving success on the platform. •Developed a programmatic approach to proactively identify opportunities to develop scalable insights for internal and external stakeholders. •Communicating analysis to both technical and non-technical audiences to translate this to actionable business recommendation’s. •Lead globally at a cross-functional level on several insights projects to enhance our data, automate insight’s and scale globally.
• Responsible for assessing the current sales operations activities across the scaled sales team to identify & implement improvements in how this function made data driven decisions in their operational workflows. • Partnered with global stakeholders to understand business requirements & design long term sustainable and effective solution for sales operations support while dealing with ambiguity and balancing speed and exactness. • Supported 2018 planning through scenario modeling and impact analysis. • Acted as a link between developers and sales team to ensure smooth implementation and tracking of the plan once created. • Worked cross functionally to help interpret business requirements, convert this into actionable analytical plans and deliver analytical output in an easily understood story driven manner. • Generated weekly/monthly dashboards and reports as well as portfolio pipelines for use by various team members and stakeholders. • All data driven work was completed within an SQL environment.
• Combining SAS and SQL code to perform exploratory and ad-hoc data analysis with a view to generating insights and recommendations to the business. • Create and maintain customer segment profiles to develop unique strategies. • Apply statistical techniques to large data sets in the course of predictive modelling across various platforms. • Deliver analyses and the interpretation of these analyses in a way that is “business-user” friendly and easy to interpret to enable data-driven decision making. • Working cross functionally to help interpret business requirements, convert this into actionable analytical plans and deliver analytical output in an easily understood user friendly format. • Using data from across the business, to validate, consolidate and analyze data involved in fraud investigations and be responsible for delivering the analysis and interpretation with stakeholders in order to help drive business decision making.