Shibumi Logo

Shibumi

Solution Consultant- North America

Posted 9 Days Ago
Remote
Hiring Remotely in United States
Entry level
Remote
Hiring Remotely in United States
Entry level
Drive client adoption, implementation, and delivery of Shibumi SaaS solutions. Configure applications to meet business requirements, translate client artifacts into solution structures, coach and train customers and partners, support pre-sales demonstrations and RFX responses, and manage multiple engagements. Use AI tools responsibly for analysis and productivity while protecting confidential client data.
The summary above was generated by AI

The world’s leading advisory firms and organizations rely on Shibumi to achieve their most strategic business objectives. Shibumi SaaS solutions enable programs to define targets, capture ideas and track delivery, all with a unique focus on benefits realization.

The Shibumi Delivery Services team leverages pre-configured applications and the flexible Shibumi platform to deliver customized solutions to a vast portfolio of clients. Implementation engagements vary in size, complexity, industry domain, and use-case.

As a Delivery Services Solution Consultant, you will drive awareness, adoption, delivery and implementation of the Shibumi platform and solutions. Solutions Consultants coach, train, and mentor Shibumi customers and partners on how to leverage the Shibumi applications. and enable them to have the ability to independently maintain their solutions post-implementation engagement.

The Solution Consultant role reports to the Solutions Architect.

Key Responsibilities

  • Serve as the Shibumi solution expert across client engagements
  • Leverage Shibumi applications and proven implementation methodologies to quickly configure solutions to address client business requirements
  • Understand and translate client business artifacts and requirements into Shibumi solution structures and templates
  • Use AI tools as part of a daily workflow to analyze data, prepare for client conversations, and address client configuration requests. Apply sound judgement to verify AI output and protect client data.
  • Provide pre-sales support as needed, including development of customized demonstrations, contribution to RFX responses, development of marketing and training collateral, etc.
  • Balance multiple ongoing engagements at a variety of stages, managing expectations of key internal and external stakeholders.

Desired Qualifications

  • Bachelor's degree
  • Excellent analytical and communication skills
  • Strong background with Excel and PowerPoint
  • Broad technical knowledge, including familiarity with subjects such as basic data modeling; analyzing and visualizing data in Excel or other tools; designing web-based layouts to present information to end users; broad understanding of the various types of software in corporate environments; and approaches for integrating between software platforms.
  • Hands-on, demonstrated experience using AI tools (e.g., ChatGPT, Claude, Microsoft Copilot) to improve productivity and quality of work, with specific examples to share
  • Good judgment about when AI output needs review, and an understanding of confidentiality and data privacy considerations when using AI with client information
  • Previous experience working at an Advisory Firm, as a team member on business improvement/transformation programs, or in a Solution Consulting role at a technology company
  • Ability to prioritize and organize effectively
  • Ability to work both collaboratively and independently
  • Ability to develop strong relationships with internal team members as well as external clients and partners
  • Ability to work with remote team members
  • Ability / flexibility to support a global client base

Similar Jobs

2 Minutes Ago
In-Office or Remote
92K-164K Annually
Senior level
92K-164K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads the enterprise GEOINT program supporting corporate security, intelligence operations, executive protection, crisis response, and risk decision-making. Manages ArcGIS-based Common Operating Picture solutions, geospatial databases, dashboards, workflows, and data governance. Oversees GEOINT analysts, integrates multi-source imagery and intelligence, drives automation, manages vendors and program roadmaps, and delivers executive briefings and time-sensitive geospatial products.
Top Skills: APIsArcgis EnterpriseArcgis Experience BuilderArcgis MissionArcgis OnlineArcgis VelocityEoEsri ArcgisGisLidarOsintPythonRemote SensingSarSQL
113K-193K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads credit strategy and analytics for small-business lines of credit and card products. Oversees underwriting, originations, account management, exposure management, portfolio monitoring, credit policy, governance, and risk optimization. Manages credit strategy teams and partners with Product, Finance, Risk, Compliance, Operations, and Technology. Presents portfolio performance and recommendations to executives, supports audits and regulatory interactions, and builds scalable credit-risk frameworks for a growing lending platform.
Top Skills: AIAutomated Decisioning SystemsCredit-Risk PlatformsPythonRSASSQL
2 Minutes Ago
In-Office or Remote
113K-193K Annually
Expert/Leader
113K-193K Annually
Expert/Leader
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads the design, development, deployment, and operation of enterprise AI and machine learning solutions, including generative AI, LLMs, conversational AI, predictive analytics, RAG, and agentic systems. Provides technical direction, mentors engineers, establishes responsible AI governance and model lifecycle practices, evaluates cloud AI services, and aligns initiatives with enterprise strategy. Ensures production quality, operational excellence, regulatory compliance, and delivery of healthcare-focused AI platforms.
Top Skills: Agentic AiAi ArchitectureAi Orchestration FrameworksAmazon EcsAmazon EksAmazon S3Amazon SagemakerAws BedrockAws LambdaAzure Ai SearchAzure Blob StorageAzure FunctionsAzure Kubernetes Service (Aks)Azure Machine LearningAzure Openai ServiceElasticsearchGenerative AiGoogle Cloud FunctionsGoogle Cloud StorageGoogle Cloud Vertex AiGoogle Kubernetes Engine (Gke)Large Language Models (Llms)Machine LearningNatural Language Processing (Nlp)OpensearchPythonRetrieval-Augmented Generation (Rag)

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account