Industry Advisor for Data Engineering (Cloud, Data, & AI)

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# Industry Advisor – Data, Cloud, & AI Expert-Led, AI-Powered Growth for B2B Tech Firms Remote (US time zones preferred) | Fractional/Contract | Performance-Based Compensation ## About Us We are a high-energy, high-integrity advisory firm specializing in transforming B2B tech firms—especially those in data, cloud, AI, cybersecurity, and custom software—into category leaders. Our “Expert-led, AI-powered” approach delivers measurable growth, liberates founders from operational bottlenecks, and changes the trajectory of businesses and their owners’ lives. We value excellence, service, innovation, and results, all delivered with empathy, clarity, and simplicity. We're in the process of closing nearly $12M in pipeline, and you would be an instrumental industry leader throughout this process. ## The Opportunity We’re seeking a Fractional Industry Advisor with deep experience operating data, cloud, and/or AI firms—specifically those that have implemented technical solutions for SMB and SME clients. You will provide strategic insight, technical credibility, and market perspective to help our clients become category leaders and drive transformative results in data, cloud, and AI adoption. ## What You’ll Do • Advise on go-to-market strategies, solution architecture, and technical implementation for data, cloud, and AI providers serving SMBs and SMEs • Offer perspective from both the provider and client/buyer side to help clients anticipate market needs and differentiate their offerings • Participate in client strategy sessions, workshops, and executive briefings as a subject matter expert • Guide clients through complex sales cycles, technical evaluations, and enterprise procurement processes • Identify industry trends, regulatory shifts, and emerging opportunities in data, cloud, and AI • Support the development of thought leadership, whitepapers, and market-facing content • Mentor client leadership teams and support founder transition from day-to-day technical operations • Collaborate with internal teams to integrate your insights into marketing, sales, and product strategies ## What You Bring • Proven leadership experience as a CEO, founder, or executive of a data, cloud, or AI solutions firm, or as a senior technology decision-maker (CIO, CTO, VP Data/AI, etc.) for SMBs/SMEs • Deep understanding of the data, cloud, and AI landscape, including solution design, deployment, compliance, and operational challenges for SMB/SME clients • Demonstrated ability to drive growth, simplify complexity, and build category-leading brands • Strong communication skills and a collaborative, mentorship-focused mindset • High energy, high intelligence, high integrity, and a passion for service and results • Up-to-date knowledge of industry regulations (HIPAA, GDPR, FTC, etc.), data privacy, and emerging technology trends • Willingness to engage in client-facing consulting, workshops, and content development preferred ## How We Work • Remote-first: Work from anywhere (US time zones preferred) • Fractional Engagement: Flexible, per-client basis with compensation scaled to results delivered • Performance-Driven: Bonuses tied to client growth and impact • Growth Path: Opportunity to lead client “pods,” become a partner, and share in firm equity as you deliver results ## Application Process 1. Intro Call: 15-minute initial conversation 2. Assessment: 30-minute deep dive on experience and fit 3. Project Challenge or Submission: Submit a case study or complete a project assessment 4. Trial Engagement: 30-day paid project with a client 5. Onboarding: If successful, join as a fractional Industry Advisor on a per-client basis Case studies demonstrating your impact are required. References will be checked. ## Diversity, Equity & Inclusion We support DEI initiatives and value diverse voices. We are a meritocracy based on client results and positive leadership, not a monoculture.

Keyword: Design Consultant

Price: $12.0

Data Engineering Database Architecture Artificial Intelligence Machine Learning Data Science Data Mining Digital Transformation