Consultant - AI Strategy (SaaS 100 Enterprises)
Saviance
Job Title: Consultant - AI Strategy (SaaS 100 Enterprises)
Location: Remote / Global Type: Part-Time -Contract About the Role We are seeking an experienced AI Strategy Consultant to advise and support SaaS 100 companies in defining, implementing, and scaling AI-driven initiatives. This role bridges strategic consulting, technical understanding, and business operations , helping enterprise clients identify high-impact use cases, design data and AI roadmaps, and enable measurable business outcomes. You'll work with cross-functional teams-from executives to data scientists-to turn AI potential into tangible business value. Key Responsibilities Strategic Consulting
Location: Remote / Global Type: Part-Time -Contract About the Role We are seeking an experienced AI Strategy Consultant to advise and support SaaS 100 companies in defining, implementing, and scaling AI-driven initiatives. This role bridges strategic consulting, technical understanding, and business operations , helping enterprise clients identify high-impact use cases, design data and AI roadmaps, and enable measurable business outcomes. You'll work with cross-functional teams-from executives to data scientists-to turn AI potential into tangible business value. Key Responsibilities Strategic Consulting
- Lead discovery sessions to understand client goals, product ecosystem, and data maturity.
- Identify high-value AI and automation opportunities across sales, marketing, customer success, and product functions.
- Develop AI adoption roadmaps aligned with client priorities, infrastructure, and security requirements.
- Define ROI and success metrics for AI initiatives, ensuring measurable business impact.
- Conduct AI readiness assessments (people, process, data, technology).
- Collaborate with client engineering and data teams to prioritize and execute pilots.
- Support LLM and GenAI use case design -e.g., customer support automation, intelligent document processing, product recommendations, or predictive analytics.
- Work with MLOps and engineering leads to outline technical requirements, model lifecycle management, and governance frameworks.
- Develop AI integration strategies for SaaS ecosystems (Salesforce, HubSpot, Zendesk, ServiceNow, Workday, etc.).
- Coordinate workshops, training, and change management activities to promote adoption.
- Advise C-level and product leadership on emerging AI trends and best practices in SaaS environments.
- Translate complex technical capabilities into actionable business language.
- Create executive presentations, business cases, and client-ready deliverables.
- Collaborate with product marketing and partnerships teams to align messaging and AI offerings.
- Conduct client interviews and map workflows for automation opportunities.
- Draft AI vision and strategy decks tailored to enterprise SaaS use cases.
- Prepare RFPs or proposals for AI projects and pilots.
- Evaluate vendor tools and APIs for AI enablement (OpenAI, Anthropic, Vertex AI, Azure AI, etc.).
- Support data governance and ethics assessments for responsible AI deployment.
- Benchmark competitors' AI maturity and recommend differentiation strategies.
- Develop and maintain knowledge repositories and AI best practice playbooks.
- 7+ years in management consulting, SaaS strategy, or digital transformation; 3+ years in AI/ML-related projects.
- Strong understanding of SaaS architectures, data pipelines, and product lifecycles.
- Familiarity with LLMs, NLP, predictive analytics, and automation frameworks.
- Proven experience working with Fortune 500 or SaaS 100 enterprises.
- Excellent communication and stakeholder management skills, with the ability to influence senior leadership.
- Experience building business cases and translating technical outputs into ROI-driven narratives.
- Bachelor's or Master's degree in Business, Computer Science, Data Science, or related field.
- Knowledge of cloud ecosystems (AWS, Azure, GCP).
- Experience with AI tools such as OpenAI API, Hugging Face, LangChain, Vertex AI, or DataRobot.
- Exposure to MLOps and AI governance practices.
- Strong presentation and workshop facilitation skills.
- Prior consulting experience at firms serving enterprise SaaS clients.
Vacancy posted 2 days ago
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