Vetted Analytics Professionals

“Chief of Staff to the COO of firmwide engineering at Goldman Sachs, serving as lead strategist for a COO/CIO-sponsored program to drive operational excellence and scalability via AI/automation. Ran discovery across divisions, built governance/OKR systems, negotiated budget commitments with divisional leaders, and coordinated firmwide CFO alignment while preparing Board-level materials for executives.”

“Led the end-to-end pilot of Microsoft Viva Insights at Mars Inc., combining executive stakeholder management, IT/technical coordination, and data-analysis-driven rollout to drive adoption and expand the pilot into broader implementation. Also set up PMO and cross-functional operating rhythms for a multi-geography manufacturing transformation, including surfacing and resolving critical trade compliance risks.”

“Technology/architecture leader with Accenture experience delivering data- and AI/ML-driven products, including a legal contract search solution and customer sales analytics for AWS. Known for scaling distributed teams (onshore/offshore), making pragmatic architecture decisions, and solving hard data problems (proprietary sources, data quality) while implementing scalable integrations like Redshift-to-Salesforce via parallelized pipelines.”

“Technology/engineering leader with experience at Real Messenger, Wolters Kluwer, and Accenture AI, spanning roadmap definition through execution and org scaling. Has operated at the executive level (fundraising, investor relations, SPAC merger activities, media presentations) while driving architecture decisions validated by PoC/testing/production success metrics.”

“Tech executive with Disney experience who has repeatedly scaled and restructured engineering organizations (from 4 to 30 and up to 100+), using OKRs/KPIs to drive business-aligned roadmaps. Hands-on with architecture and platform strategy, including adopting MongoDB Atlas to centralize transactional data and building shared core services (security/permissions, auditing, compliance) to increase product velocity across distributed teams.”

“Founder of a self-funded side advisory (e-Regency Advisory Services LLC) focused on helping early- and growth-stage technology companies improve customer experience, modernize cloud platforms, and build customer success/operations strategies leveraging AI. Has worked closely with founders and startup leadership teams and has supported companies as they prepared for or pursued funding, bringing a pragmatic, operationally disciplined approach to validating and scaling new ideas.”

“Engineering/product leader with repeated experience defining roadmaps and delivering platform migrations across SaaS and enterprise contexts. Scaled an education system from two districts to 2M+ students statewide, and led an Elasticsearch-based architecture for an internal Disney product serving ~100K employees. Known for rigorous execution (RAID/OKRs/sprints), strong stakeholder communication (weekly AI summaries), and empowering teams via end-to-end ownership and customer-connected development.”

“Built and deployed an AI receptionist product for field-service businesses (HVAC/electrician), including real-time Jobber scheduling integrations and Twilio-based calling. Combines hands-on customer/operator shadowing with strong production engineering (queueing to handle API limits, rigorous testing/mocking, mirrored prod environment) and cross-layer troubleshooting, driving user adoption through review/override workflows.”