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ServiceNow

Builds software that automates business workflows

Advisory Solution Consultant - Data & Analytics

Pre-Sales Solution EngineeringPosted on Nov 13
Full-timeTokyo, JapanNo salary listedHybrid

About the Job

Requirements

  • Experience integrating AI into work processes, decision-making, or problem-solving, including use of AI-powered tools, workflow automation, analysis of AI-driven insights, or evaluation of AI's potential impact.
  • At least 5 years of experience in technical presales, solution engineering, or architecture roles involving enterprise data platforms, cloud databases, or infrastructure technologies.
  • Deep understanding of distributed database concepts, transactional and analytical processing, replication, sharding, and storage optimization.
  • Strong technical background in data engineering, with a focus on data platforms, databases, or infrastructure technologies; enterprise software experience is required.
  • Hands-on experience with data ingestion, ETL pipelines, real-time streaming platforms, and integration technologies such as REST, JDBC, and Kafka.
  • Strong coding or 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 or no-code application development platforms.
  • Strong stakeholder management skills across technical and business audiences, and ability to work consultatively with customers and partners.
  • Verbal, written, and presentation skills to translate complex solutions into clear business value.

Responsibilities

  • Serve as a technical advisor and advocate for ServiceNow Workflow Data Fabric and RaptorDB, explaining data platform and integrated data solution benefits to business and technical stakeholders.
  • Advise clients on architecting, scaling, and operating transactional and analytical workloads on RaptorDB, including distributed and multi-region high-availability architectures, performance tuning, and data compliance practices.
  • Lead technical discovery sessions to identify customer needs, data integration challenges, and architectural gaps; design and present ServiceNow-based solutions aligned with business outcomes.
  • Build and deliver custom proof-of-concepts and proof-of-value solutions demonstrating Workflow Data Fabric and RaptorDB capabilities and business impact.
  • Analyze the competitive data platform landscape, explain trade-offs, and position RaptorDB against alternatives.
  • Communicate technical solutions to technical and executive audiences and align their value with business priorities.
  • Collaborate with product and field enablement teams to share customer insights, influence the roadmap, and contribute reusable assets and learning materials.
  • Support the presales lifecycle from qualification to close, including sizing, solution validation, and architecture workshops.

Desired Qualifications

  • Familiarity with ServiceNow platform certifications, including CSA and CAD.
  • Familiarity with competitive platforms such as MongoDB Atlas, Snowflake, Databricks, BigQuery, Google Spanner, DynamoDB, or Cloudera.

About the Company

ServiceNow

Builds software that automates business workflows

ServiceNow builds cloud software that helps large organizations manage work across IT, customer service, human resources, and security. Its applications handle tasks such as resolving support tickets, onboarding employees, and responding to customer requests. Businesses configure forms, approval steps, and automation through visual tools on a common platform, connecting existing systems and using AI to assist workers or carry out tasks. The company sells subscriptions to its applications and platform, with professional services helping customers implement and use the software. Founded in 2004, ServiceNow is headquartered in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
2004

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