Senior AI Transformation Consultant

Company overview: Blue Orange Digital is a data engineering and AI consultancy that builds production-grade data platforms, ML systems, and analytics solutions for companies that take their data seriously. Our engineers ship code alongside client teams, and our strategists stay close to the build — so the roadmaps, operating models, and readiness assessments we hand clients are grounded in the realities of what BOD goes on to deliver. Our clients include Fortune 500 enterprises, high-growth startups, and a growing roster of private equity portfolio companies. We partner with Snowflake, Databricks, AWS, GCP, and Azure to deliver battle-tested solutions that drive measurable ROI. Note: Please submit your resume in English, as all application materials must be in English for review and consideration. Position overview: Blue Orange Digital partners with private equity firms to bring AI to their portfolio companies, from initial assessment through production rollout. We are scaling that practice and need a Senior AI Transformation Consultant to lead client engagements end to end. You will own the engagement lifecycle: discovery and readiness assessments, AI maturity scoring across business and product dimensions, roadmap design, ROI modeling, and executive communication. You will lead delivery pods built from BOD architects, engineers, and SMEs, working alongside our Principal AI Solutions Architect and Lead Databricks Architect. Your audience ranges from PE operating partners and CFOs to portfolio company CEOs, CTOs, and founders. Responsibilities: Lead client-facing discovery and assessment engagements, including AI readiness and AI vulnerability scoring across business, data, and product dimensions Translate assessment findings into executive-grade roadmaps with phased ROI projections Own the engagement plan and run weekly steering committees with client and PE stakeholders Partner with the Lead Databricks Architect and Senior AI Engineers on technical scoping and delivery Build trust with client engineering leaders and co-design adoption paths so new AI capabilities land well with the people who will operate them — we are on the same team, working toward shared success Author leave-behind playbooks, operating models, and reference materials that clients use long after the engagement ends Help BOD productize repeatable assessment, accelerator, and rollout offerings across the PE channel Requirements: 7+ years in data and AI consulting, with 3+ years in a client-facing senior or manager role Track record running enterprise AI programs that connect C-level alignment to delivery outcomes Big Four, MBB, or boutique consulting firm background, or equivalent advisory experience inside a data/AI-forward enterprise Fluency with modern AI system concepts — large language models, retrieval-augmented approaches, and agent-based systems — and with modern data platforms like Databricks and Snowflake; strong enough to advise on use-case prioritization, build-vs-buy decisions, and the evolving vendor landscape Demonstrated change management experience partnering with client engineering organizations, including working alongside skeptical or cautious technical teams ROI modeling, business case development, and executive presentation skills Comfortable contributing to engagement success across delivery quality, client satisfaction, and organic account expansion Preferred qualifications: PE or private capital portfolio advisory background Experience with operating model design, M&A integration, or post-merger technology rationalization Network in PE operating partner and portfolio CTO communities Familiarity with ISO 42001, NIST AI RMF, and the EU AI Act Benefits: Fully remote Flexible Schedule Unlimited Paid Time Off (PTO) Paid parental/bereavement leave Worldwide recognized clients to build skills for an excellent resume Top-notch team to learn and grow with Competitive compensation with performance bonuses Work on diverse, challenging projects across industries Direct access to cutting-edge tech stacks (Snowflake, Databricks, AWS, GCP, Azure) Builder culture where engineers lead and ship Professional development budget and certification support Flexible remote work environment Collaborative team that values production-grade craftsmanship Background checks may be required for certain positions/projects. Blue Orange Digital is an equal-opportunity employer.