Technical Project Manager

Required Skills: High-Level DesignThis is the primary document that will need to be produced as the Technical Project Manager. The Technical Project Manager will be the (D)river within the DACIE (Driver, Approvers, Contributors, Informed and Escalation). Partnering with our Project Requestors, Product Manager, Process Architects and Program Manager on the Problem Statement, Constraints, Proposed Solution and Solution Design will be content that the Technical Project Manager is accountable to produce rapidly for all projects. This will include Architectural Decisions, Capability Architecture, Design Assumptions, Non Functional Requirements/Examples along with Security, SOX Compliance and Infosec Compliance. Low-Level DesignThis is the secondary document that will need to be produced as the Technical Project Manager. Similar to the High-Level Design, the Technical Project Manager will be the (D)river within the DACIE (Driver, Approvers, Contributors, Informed and Escalation). This document starts with a concise Executive Summary, advances to a Detailed Component Design, Decisions & Justifications, Operational & Quality Aspects and concludes with Risks, Open Questions & Future Work. The creation, collection and explanation of this content will be the responsibility of the Technical Project Manager. Product Requirements Document Focusing on the “Why” and not just the “What”, being concise and collaborating early and often are the key fundamentals to a quality Product Requirements Document. There are 12 key areas that are covered and the best candidate will not only be familiar with all of these areas, but have recent past experience that verifies the ability to produce this content. Introduction & Vision - Big picture, elevator pitch that is easily understood by technical and functional team members Problem Statement - Pain points, users problem, “Jobs to be Done” framework Goals & Objectives - What will this accomplish, clear/measureable goals, why is this worth the time and resources invested Success Metrics - Not only what will be measured, but the creation of the dashboard/report views Personas & Scenarios - Who are we building this for, user-centric decisions, tell the story of what “before” is and what “after” will be and why this matters to each persona Process Flows - Current ‘AS IS’ and future ‘TO BE’ workflows, must be end-to-end and in most cases is multi-org impacting Requirements & User Stories - Features, functions and user-facing behaviors Design & User Experience Dependencies & RisksOut of Scope, Future Work & Deferrals Launch Plan / Project PlanQ&A / Open Questions Responsible Artificial Intelligence (RAI) The Modern Technology Office (MTO) started off 7 years ago on the foundation of automation tools such as UiPath Robotic Process Automation (RPA) and Alteryx, over the past 3 years we have evolved into providing Generative AI and Agentic AI solutions. The Technical Project Manager will need to be well versed in advancing AI related projects within an enterprise setting. This will involve filling out AI technical forms, creating DevPortal assets, experience ID’s and being accountable to answering Engineering inquiries on AI submissions. These questions will require reaching out to various resources via numerous methods to collect information in addition to being proficient in external searches typically with AI tool self-serve answers to be correlated back to the specific AI solution being advanced. There will be many instances where the Technical Project Manager will be the first to provide answers to new questions that will be foundational for how we shape our internal AI projects in the future. The best candidate will be comfortable being the first to explore a new technical capability and be motivated by the challenges associated with integrating backoffice AI solutions within a compliance heavy, FinTech environment. Key Words/Phrases CommunicationTimelinesDeliverablesSolution Approach Technical Artifacts Artificial IntelligenceAIResponsible Artificial IntelligenceRAIHigh-Level DesignLow-Level Design Product Requirements DocumentDACIEArchitectural Decisions Motivate / Motivation Engagement / Participation Creative / Creativity Relationship Building Project Management Program Awareness Google Workspace Generative Artificial Intelligence GenAIChatGPTGPT-4GPT-4-32KGPT-3.