Advisory Solution Consultant - Data & Analytics

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.

Join us to put AI to work for people.

We are seeking an experienced and dynamic technical presale professional to join our team as an Advisory Solution Consultant focused on ServiceNow's Workflow 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.

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.

Requirements

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.