Conduct stakeholder discovery across technical and business teams to identify, quantify, and document the value of enterprise Salesforce solutions. Create ROI analyses, executive-ready value reports, presentations, and customer success materials. Partner with sales, customer success, solutions consulting, and marketing teams to support renewals, expansions, executive reviews, and strategic opportunities while recommending additional ways customers can improve Salesforce governance, security, compliance, resilience, and productivity.
We are looking for a fractional, client-facing Business Value Consultant to help customers and prospects understand and document the measurable value created by enterprise Salesforce solutions.
This consultant will conduct thoughtful discovery with business and technical stakeholders, identify operational and strategic outcomes, and turn those findings into clear, executive-ready value reports. The role covers Salesforce operations broadly, including data protection, security, audit readiness, compliance, release processes, governance, and overall platform reliability—not solely DevOps.
What You’ll Do- Interview customer stakeholders across IT, Salesforce, security, compliance, operations, and business leadership.
- Understand the customer’s initial challenges, current workflows, risks, and business priorities.
- Identify and quantify outcomes such as time savings, reduced operational effort, lower risk, stronger compliance readiness, improved data resilience, faster recovery, better governance, and increased Salesforce-team productivity.
- Translate technical capabilities and customer usage into credible business-value stories.
- Create concise customer value reports, ROI summaries, executive presentations, and inputs for customer success stories.
- Partner with customer success, sales, solutions consulting, and marketing teams to support renewals, expansions, executive business reviews, and strategic sales opportunities.
- Recommend additional opportunities for customers to realize more value from their Salesforce environment.
RequirementsWhat We’re Looking For
- Experience in value consulting, management consulting, customer success, enterprise SaaS consulting, or business transformation.
- Strong familiarity with the Salesforce ecosystem and how Salesforce teams operate.
- Working knowledge of Salesforce data backup and recovery, security, audit trails, compliance, governance, and release/change-management practices.
- Ability to speak credibly with both technical practitioners and executive stakeholders.
- Experience building ROI analyses, value assessments, business cases, customer success stories, or executive reports.
- Excellent discovery, interviewing, analysis, writing, and presentation skills.
- Strong judgment: you distinguish verified customer outcomes from assumptions and document methodology clearly.
- Availability for flexible, project-based customer engagements across North American time zones.
Similar Jobs
Financial Services
Leads software engineering and AI/ML solution delivery using Java and Python. Designs, builds, operates, and troubleshoots secure, scalable production systems; advances AI-assisted engineering practices; integrates LLM, RAG, and NLP capabilities; develops CI/CD and cloud-native automation; improves observability, reliability, and incident remediation; partners on technical roadmaps; and mentors engineers and AI practitioners.
Top Skills:
Ai/MlAWSCi/CdCloud-Native ArchitecturesContainerizationEvent-Driven ArchitectureGenerative AiInfrastructure As CodeJavaLangchainLanggraphLlmsMicroservicesNlpObservabilityPythonRetrieval-Augmented Generation (Rag)
Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
Develop and maintain Master Data Management, data governance, stewardship, quality, and reference data processes. Partner with enterprise stakeholders and governance groups to define standards, validate master data, establish quality rules, support data owners, and prioritize initiatives. Lead requirements for system configuration changes while using data profiling, modeling, and analytics to improve data validity and consistency across systems.
Top Skills:
AgileInformaticaProfiseePythonRestSemarchySoapSQL
Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
Develop and maintain master data management and integration capabilities, including data quality rules, governance processes, stewardship workflows, data validation, profiling, modeling, and integration design. Collaborate with enterprise stakeholders, data owners, stewards, and governance groups to define requirements, configure systems, and support strategic MDM initiatives. Use Python, SQL, AWS services, APIs, Dataiku, and ETL/MDM tools to improve data accuracy, consistency, transformation, and retention.
Top Skills:
AgileAmazon RedshiftAPIsAws LambdaAws Step FunctionsDataikuETLInformaticaPl/SqlProfiseePythonSemarchySQL
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
