• Build, maintain, and extend data pipelines across product, CRM, and third-party sources to ensure reliable, scalable data access that power analytics across the business and for customers • Own and manage the BI environment, including data models, transformation processes, and visualization tooling • Translate Axuall’s data into actionable insights that drive product value, customer outcomes, and revenue growth • Establish and enforce standards for data quality, consistency, and governance to ensure accuracy and trust in all analytics outputs • Enable self-service analytics by maintaining a consistent, trusted data foundation that drives speed and confidence in decision-making • Develop and support AI-driven data workflows that extract insights (e.g., sentiment, patterns) to inform product strategy and customer value realization • Support business leaders to communicate internally and externally with data

• Empower the organization with strong hypotheses, insights, and recommendations to build and prioritize Servicing product & Operations roadmaps • Develop and execute end-to-end analytics roadmap by partnering closely with product, operations, commercial, engineering and other teams to grow the Affirm network • Collaborate with cross-functional partners to understand their business priorities, formulate and execute end-to-end analytics workflow that includes defining critical metrics, data instrumentation and gathering, experimentation, analysis, and building meaningful dashboards and forecasts • Translate analytical outcomes and results into compelling narratives/presentations for multiple levels of leadership • Improve the overall efficiency of the team through automation and implementation of best practices • Actively contribute to a high-performing team culture, managing other analysts to be effective in delivering high-impact and business-driving work

• Work closely with Data Scientists and Engineers to diagnose and treat data pipeline integrity issues • Detect data inaccuracies such as missing, out of range or otherwise incorrect on-field data • Source origins of data inaccuracies through data pipeline dependencies and python code base • Define data validation tests to flag future game errors • Research accurate roster active statuses, primary positions and game participation • Validate data changes after logic updates • Production model feature deep dives to explain project market lines • Clearly document findings • Develop intimate familiarity with existing databases and construct metadata references • With guidance, support lead Data Scientists in feature development and model analysis

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description We are seeking an experienced and dynamic technical presale professional to join our team as an Advisory Solution Consultant focused on ServiceNow'sWorkflow Data Fabric & RaptorDB. This role is critical to shaping and delivering innovative, scalable data platform solutions for our customers. You will play a key role in defining and showcasing the technical vision for ServiceNow's emerging data capabilities, with a strong emphasis on distributed databases, data integration, and advanced analytics, complemented by the broader ServiceNow ecosystem including NowAssist and Agentic AI. Key Responsibilities - Data Solution Evangelism: Serve as a key technical advisor and advocate for ServiceNow's Workflow Data Fabric and RaptorDB, articulating the benefits and capabilities of data platforms and integrated data solutions to business and technical stakeholders. - Database Architecture Advisory: Act as a trusted advisor to clients on how to architect, scale, and operate transactional and analytical workloads on RaptorDB. Provide guidance on distributed, multi-region, HA architectures, performance tuning, and data compliance best practices. - Customer Engagement: Lead technical discovery sessions to identify customer needs, data integration challenges, and architectural gaps. Design and articulate innovative ServiceNow-based solutions aligned to business outcomes. - PoC & Value Engineering: Build and deliver custom proof-of-concepts and proof-of-value solutions that demonstrate Workflow Data Fabric and RaptorDB's technical strengths and business impact. - Competitive Differentiation: Provide insights into the competitive data platform landscape, articulating trade-offs and positioning RaptorDB against alternatives. - Solution Storytelling: Communicate complex technical solutions in clear and compelling ways to both technical and executive audiences. Align technical value to business priorities. - Internal Enablement & Feedback: Collaborate with product and field enablement teams to share customer insights, influence roadmap, and contribute to reusable assets and learning materials. - Sales Strategy Support: Actively support the presales lifecycle from qualification to close, including sizing, solution validation, and architecture workshops. Qualifications To be successful in this role you have: - Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. - 5+ years in technical presales, solution engineering, or architecture roles with enterprise data platforms, cloud databases, or infrastructure technologies. - Deep understanding of distributed database concepts, transactional/analytical processing, replication, sharding, and storage optimization. - Strong technical background in data engineering, strong focus on data platforms, databases or infrastructure technologies. Enterprise software experience is a must. - Hands-on experience with data ingestion, ETL pipelines, real-time streaming platforms, and integration technologies (REST, JDBC, Kafka, etc.). - Strong coding/scripting ability in SQL, Python, or similar languages to prototype solutions and communicate technical designs. - Prior exposure to data modeling, query optimization, performance benchmarking, and capacity planning. - Experience with low-code/no-code application development platforms; familiarity with ServiceNow platform certifications (CSA, CAD) is preferred. - Familiarity with competitive platforms like MongoDB Atlas, Snowflake, Databricks, BigQuery, Google Spanner, DynamoDB, or Cloudera is a strong plus. - Strong stakeholder management skills across technical and business audiences; ability to work consultatively with customers and partners. - Excellent verbal, written, and presentation skills, with a storytelling mindset that translates complex solutions into clear business value. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.