Future Works

• Define and execute a product vision centered on AI and custom software, establishing a detailed roadmap that aligns with client goals and Future Works’ standards. • Lead the entire product development lifecycle, overseeing design, development, and deployment phases to deliver seamless, high-quality custom applications. • Manage and synchronize design and development teams, ensuring all phases of the project are on track and meet client expectations for functionality, usability, and aesthetics. • Work closely with engineering and data science teams to integrate AI capabilities, making strategic choices about where AI can add the most value to custom software and applications. • Serve as the primary client contact, communicating progress, gathering feedback, and refining requirements based on client requirements. • Establish KPIs and benchmarks, rigorously monitoring design and development progress to ensure high delivery standards and consistent quality. • Foster a culture of iteration, using data and feedback to refine PDLC processes and drive innovation in AI-enhanced custom application development.

• Lead the decomposition of complex, cross-functional business processes (supply chain, logistics, procurement, distribution) to expose structural inefficiencies, wrong-node allocation, mode-mix issues, and escalation drivers. • Independently facilitate workshops, interviews, and discovery sessions with senior client stakeholders. Build trusted advisor relationships and drive difficult conversations with confidence. • Convert business findings into clear, actionable requirements for Solutions Architects and Data Engineers, ensuring operational constraints and business logic are accurately reflected in technical blueprints. • Own and independently drive one or more delivery lanes end-to-end: planning, client communication, deliverable production, risk escalation, and progress reporting, without requiring day-to-day direction. • Collaborate with Solutions Architects to define current-state and target-state process and system architectures, applying structured analytical frameworks (Lean Six Sigma, root cause analysis, hypothesis-driven problem solving) to validate transformation opportunities. • Produce enterprise-grade analytical deliverables (process maps, value stream analyses, opportunity assessments, business cases, use case definitions) that drive client decision-making and investment. • Mentor and support junior Business Analysts and consultants, helping them develop the skills to independently run sessions, produce deliverables, and manage client interactions.

• Build interactive 3D scene visualizations using the ArcGIS Maps SDK for JavaScript (@arcgis/core), specifically SceneView, scene layers, and Esri web components. • Integrate Esri 3D visualization components directly into a production Angular application, working within the client's codebase and repository. • Render and optimize geospatial data layers including solar field layouts, infrastructure assets, terrain models, and real-time operational data overlays in 3D. • Tune rendering performance and visual fidelity to meet production-quality standards in the browser (WebGL, GPU profiling, level-of-detail management). • Work with mock/static GIS data initially, then transition to live data endpoints; adapt the UI as real data replaces mock data. • Leverage AI-assisted development tools (Copilot, Claude, cursor-based coding agents) to accelerate implementation, write tests, debug rendering issues, and prototype scene configurations faster. • Participate in client scrum ceremonies (standups, sprint planning, retrospectives) as a fully embedded squad member. • Collaborate closely with a Future Works Full Stack / Front End Engineer on Angular component architecture, state management, and API integration. • Coordinate with the client's Technology Director and development team on data contracts, API specifications, and integration points.

• Current-State Process Mapping: Lead workshops with client stakeholders to map existing allocation and routing logic (e.g., origin-to-node-to-customer flows) and identify the root causes of premium freight leakage and mode-mix misalignment. • Hypothesis Design: Decompose historical shipment data alongside SMEs to formulate specific, testable hypotheses (e.g., “Wrong-node allocation drives 30–40% of premium freight”). • Future-State Logic Definition: Collaborate with operations teams to define the "right allocation" rules, mode selection logic, exception thresholds, and escalation gating rules for the new decision engine. • Financial & KPI Baselining: Work with Finance and Operations to establish the CFO-approved baseline metrics (e.g., Air Usage %, Transport Mix, Node Dwell Time) and track realized ROI during live pilot experiments. • Technical Alignment: Translate complex business rules and MedTech compliance constraints into clear technical requirements for the Data Engineering and Full Stack teams to encode into the simulation models. • Validation & Feedback Loops: Conduct weekly operational reviews during the live pilot phase, gathering feedback from planners to iteratively refine model outputs and track avoided escalations. • Transition & Change Management: Author the updated Standard Operating Procedures (SOPs), facilitate training for the broader planner and control tower teams, and help compile the final Value Realization Report.

• Build and maintain the core React and TypeScript web application and supporting backend services that power planner workflows, scenario review, and decision support. • Develop data-heavy interfaces including tables, filters, comparison views, dashboards, and visualizations that make complex outputs clear and actionable. • Integrate optimization engines, model outputs, and business-rule logic into product flows that present recommendations with the right context and explainability. • Implement authentication, role-based access, and secure application behavior appropriate for a single-tenant, high-scrutiny environment. • Build and maintain APIs, background jobs, and application orchestration needed to support batch data workflows, scenario processing, and user-facing responsiveness. • Work with Business Analysts and Subject Matter Advisors to translate operational rules, constraints, and exception paths into practical product behavior. • Partner closely with QA to ensure the application is testable, stable, and release-ready across both frontend and backend layers. • Use AI-assisted development and agentic engineering workflows to accelerate delivery, improve code quality, and increase implementation speed without compromising maintainability.

• Data Ingestion & Structuring: Lead the extraction, ingestion, and harmonization of historical freight, order, inventory, and complex carrier rate card data from diverse legacy sources. • Schema Design: Define "Minimum Viable Attributes" and architect a unified, canonical data schema that normalizes client data for downstream consumption. • Pipeline Development: Build robust, reusable ETL/ELT pipelines to facilitate rapid and structured analysis in a highly regulated environment. • Quality Assurance for Modelling: Ensure data quality, completeness, and readiness are sufficient to train predictive machine learning models and run optimization simulations. • Infrastructure Collaboration: Work alongside the Solutions Architect to stand up and operate within a secure, single-tenant sandbox environment ensuring strict data isolation. • Hypothesis Validation: Support the Operations Strategy team by providing the necessary data structures to decompose current allocation logic, enabling the identification of wrong-node, mode-mix, and escalation drivers.

• Solution Architecture: Own the end-to-end architecture across data ingestion, storage, model services, optimization logic, and user-facing applications. • Secure Environment Design: Define and oversee a single-tenant cloud environment that supports rapid delivery while meeting strict requirements for security, access control, auditability, and data isolation. • Data Platform Collaboration: Work alongside the Data Engineering Lead to shape the canonical schema, integration patterns, and transformation rules required to unify historical freight, order, inventory, and rate card data. • Decision Engine Design: Architect how predictive models, business rules, and optimization solvers work together to produce clear, defensible recommendations under real operational constraints. • Production Hardening: Establish the non-functional requirements for performance, resilience, monitoring, deployment, rollback, and release readiness so the platform can operate reliably beyond the pilot phase. • Cross-Functional Technical Leadership: Translate business requirements and operational logic into clear technical decisions, guiding engineering teams on trade-offs, sequencing, and implementation standards.

• Proliferate the operating system - You will take the systems you co-designed with the Architects and ensure they live and breathe within the team. You are responsible for compliance, adoption, and the continuous refinement of our "Way of Working." • Drive radical accountability - You will install and manage the cadence of the business. You are the one who ensures targets are met, metrics are accurate, and that every team member is performing at their peak potential. • Curate a high-performance culture - You will be instrumental in hiring, onboarding, and performance management. You will track "happiness metrics" alongside performance KPIs, ensuring we retain elite talent by keeping them challenged and supported. • Optimize work velocity - Working with the CTO, you will identify bottlenecks in real-time. You will monitor time-tracking and task-completion data to spot friction and eliminate it immediately. • Bridge the gap - You act as the connective tissue between the visionary leadership (CEO/CTO) and the delivery team, translating high-level strategy into daily tactical execution.