• Own outcomes end-to-end • Build agentic systems • Deploy custom AI agents • Operate as a one-person company • Cross-pollinate across CloudWalk

• Define and lead the technical strategy for optimization use cases across Datacor's product portfolio. • Translate complex, real-world operational constraints into rigorous mathematical models. • Design, implement, and benchmark optimization algorithms including exact methods, metaheuristics (simulated annealing, tabu search, genetic algorithms), and commercial solvers (OR-Tools, Gurobi, CPLEX, or equivalent). • Make principled tradeoffs between solution quality, computational cost, and real-time responsiveness. • Collaborate closely with product, engineering, and design teams to ensure the solver becomes a solution that real users can understand, trust, and act on every day. • Drive end-to-end delivery of optimization solutions from prototype to production working across cross-functional teams. • Integrate optimization engines into production software via APIs and enterprise data pipelines. • Serve as the internal authority on optimization methods communicating algorithm design, performance, and tradeoffs clearly to both technical and business audiences. • Stay ahead of advances in OR, combinatorial optimization, and applied AI and bring new ideas and thinking that push our capabilities forward.

• Process Mapping — Document all operational workflows across finance, admin, student management, and HR. Identify bottlenecks and manual processes ripe for automation. • Bank Reconciliation Automation — Evaluate, recommend, and implement AI-powered tools (e.g., Dext, Xero, QuickBooks Online AI) to automate our bank reconciliation process end-to-end. • AI Software Evaluation — Research and shortlist best-in-class AI tools across LMS, CRM, ERP, accounting, and operations. Present a scored comparison with licensing costs and ROI estimates. • Dashboard & Reporting — Build live management dashboards in Power BI (or equivalent) covering enrollment, revenue, attendance, and certification pass rates. • Automation Implementation — Design and deploy workflow automations using tools like Microsoft Power Automate, Zapier, or Make (Integromat) to reduce manual admin tasks. • Data Standards — Establish data collection, storage, naming, and reporting standards across all departments from Day 1. • Vendor Management — Evaluate software vendors, negotiate trial licenses, manage relationships, and present recommendations to management. • ROI Tracking — Measure and report the cost and time savings from each automation initiative quarterly.

• Build and lead Livefront’s AI & Automation practice • Own the evolution and growth of Livefront’s AI & Automation service line, including: AI Strategy & Readiness, Agentic Software Engineering, Enterprise Agents & Workflow Automation, AI Platforms & Context Services Engineering, AI Product Development, and AI Training & Enablement. • Own the full portfolio of AI workstreams across the company, ensuring alignment, prioritization, and execution across internal enablement, platform/IP development, client delivery, and market positioning. • Define what “excellent” looks like for AI delivery at Livefront: playbooks, reference architectures, evaluation approaches, governance, security posture, and operational standards. • Recruit, mentor, and develop a team of AI leaders and practitioners; establish career pathways and raise the technical bar across the organization. • Help Livefront evolve all service lines (Digital Strategy & Product, Data & Analytics, Experience Design, Software Engineering, Data & Analytics) to better leverage AI. • Drive internal AI adoption, training, and transformation • Own internal AI adoption across Livefront, removing barriers to usage and ensuring AI becomes a default part of how teams work.  • Establish and scale internal training programs and certification pathways. • Ensure internal teams have access to best-in-class tools, documentation, reference implementations, and accelerators. • Help embed AI expectations into roles, performance criteria, delivery standards, and career development pathways. • Shape market-facing offerings and go-to-market motion • Track the market direction of AI—platforms, models, tooling, regulations, and emerging patterns—and translate that into clear, differentiated offerings clients can buy. • Partner with Livefront leadership to mature our go-to-market approach for AI services: positioning, packaging, sales enablement, pursuit strategy, and thought leadership. • Build and manage strategic partnerships across AI frontier labs (e.g., OpenAI, Anthropic), data platforms (e.g., Databricks, Snowflake), and cloud providers (e.g., AWS, Microsoft). • Ensure a consistent pipeline of AI-forward case studies and proof points, working across delivery and marketing to translate client work into compelling stories that support sales and positioning. • Own and drive thought leadership efforts that establish Livefront as a leader. • Serve as a trusted executive presence in client and prospect engagements by leading discovery, shaping strategy, articulating value, and aligning stakeholders. • Build Livefront’s AI platform, IP, and accelerators • Own the development of Livefront’s agentic product development framework. • Drive the creation of reusable AI assets: agents, accelerators, frameworks, and internal tools that compound delivery efficiency and differentiation. • Lead delivery on high-impact work • Lead and/or sponsor key client engagements involving complex AI architectures, agentic systems, and enterprise-grade implementations. • Run short, focused experiments when needed to evaluate new tools and approaches, reduce risk, and accelerate delivery. • Ensure solutions are scalable, reliable, observable, secure, and governed. • Drive AI-led client transformation and revenue growth • Drive adoption of agentic engineering and AI platforms in client delivery in a repeatable, scalable way. • Oversee the development of custom enterprise AI agents for clients. • Lead and scale our client training & workshops.