Technical Program Manager

Ez-xbrl Solutions; United States; A distancia; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

Ez-xbrl Solutions seeks an experienced Technical Program Manager to drive planning, coordination and delivery of complex technology programs across AI-powered SaaS platforms in RegTech, ESG, Sustainability, Compliance and Financial Reporting.

The role requires a strong technical background, excellent program management, execution, stakeholder management and problem-solving skills, with the ability to translate product strategy into executable programs, manage dependencies and ensure high-quality

Formación

• 10+ years in software development, delivery or technology program management.
• Strong understanding of Agile/Scrum, release management and governance.
• Excellent written and verbal communication and stakeholder management.

Responsabilidades

• Own end-to-end planning, coordination, execution and delivery of multiple technical programs.
• Translate requirements into program plans, milestones and deliverables.
• Coordinate with Engineering, DevOps and stakeholders to align scope and dependencies.
• Establish governance, tracking, reporting and review cadences.
• Monitor progress against timelines, budgets, scope and quality.
• Drive Agile/Scrum execution, sprint coordination and release planning.
• Identify bottlenecks and mitigate risks to keep programs on track.
• Provide technical guidance while coordinating architecture discussions.

Conocimientos

10+ years experience

Program management

Agile/Scrum

Communication

Stakeholder management

Problem solving

Herramientas

Jira

Azure DevOps

CI/CD pipelines

Git

Descripción del empleo

Position: Technical Program Manager
Location: Remote
Role Overview: We are looking for an experienced Technical Program Manager to drive the planning, coordination and successful delivery of complex technology programs across our AI-powered SaaS platforms in the RegTech, ESG, Sustainability, Compliance and Financial Reporting domains.
The role requires a strong technical background combined with excellent program management, execution, stakeholder management and problem-solving skills. You will work closely with Engineering, DevOps and Business teams to translate product strategy into executable technical programs, manage dependencies, track milestones, mitigate risks and ensure predictable, high-quality delivery.
You will serve as a bridge between business objectives and engineering execution, ensuring alignment across teams, visibility into program progress and timely resolution of technical and operational challenges. A solid understanding of modern software architecture, cloud infrastructure, APIs and AI/LLM-based applications is essential to effectively manage technically complex initiatives.

Technical Program Management & Delivery

• Own end-to-end planning, coordination, execution and delivery of multiple technical programs and cross-functional initiatives.
• Translate business requirements and product roadmaps into program plans, milestones, deliverables, timelines and measurable outcomes.
• Coordinate with Engineering, DevOps and other stakeholders to ensure alignment on scope, priorities, dependencies and delivery commitments.
• Establish program governance, execution tracking, reporting mechanisms and regular review cadences.
• Monitor program progress against timelines, budgets, scope, quality standards and business objectives.
• Identify delivery bottlenecks, proactively resolve blockers and drive decisions to keep programs on track.
• Manage scope changes, competing priorities, resource constraints and cross-team dependencies.
• Drive Agile/Scrum execution, sprint coordination, release planning and continuous improvement in delivery processes.

Technical Leadership & Architecture Coordination

• Work closely with engineering leaders and architects to understand solution designs, technical dependencies, implementation approaches and delivery risks.
• Facilitate technical discussions, architecture reviews, design decisions and cross-team alignment.
• Evaluate technical trade-offs involving scalability, performance, security, maintainability, integration complexity and time to market.
• Ensure technical decisions align with product objectives, architectural standards and long-term platform strategy.
• Coordinate initiatives involving microservices, APIs, multi-tenant SaaS platforms, cloud infrastructure, data processing and enterprise integrations.
• Identify technical risks early and drive mitigation plans in collaboration with engineering teams.
• Provide technical guidance and challenge assumptions where required without becoming the primary owner of day-to-day coding or people management.

AI, Automation & Innovation Programs

• Drive the planning and delivery of AI-powered product initiatives involving LLMs, generative AI, NLP and intelligent workflow automation.
• Coordinate implementation of AI capabilities such as Retrieval-Augmented Generation (RAG), document intelligence, structured output generation, data extraction and automated validation.
• Work with engineering and product teams to define technical milestones, acceptance criteria, dependencies and success metrics for AI initiatives.
• Ensure AI implementations address accuracy, reliability, performance, data privacy, security, explainability and operational requirements.
• Track model and provider integrations, evaluation activities, deployment readiness and production adoption.
• Facilitate the evaluation and adoption of emerging technologies that improve product capabilities, engineering efficiency and business outcomes.

Stakeholder Management & Communication

• Act as the primary coordination point between technical teams, product leadership, business stakeholders and senior management for assigned programs.
• Communicate program status, risks, dependencies, resource requirements and delivery forecasts through clear and actionable reporting.
• Set expectations with stakeholders regarding timelines, scope, technical constraints and trade-offs.
• Facilitate program reviews, steering meetings, retrospectives and escalation discussions.
• Ensure business requirements are translated into clear technical deliverables and that engineering outcomes meet stakeholder expectations.
• Drive alignment across distributed teams and ensure accountability for commitments and decisions.

Risk, Quality & Release Management

• Maintain program-level risk, assumption, issue and dependency tracking, with clear ownership and mitigation plans.
• Establish appropriate quality gates, acceptance criteria, testing milestones and release-readiness processes.
• Coordinate integration testing, user acceptance testing, performance testing, security assessments and production releases.
• Track critical defects, technical debt, operational concerns and unresolved issues that may affect delivery or product reliability.
• Ensure delivery processes support security, compliance, auditability and enterprise customer requirements.
• Conduct post-release reviews and drive corrective actions and continuous improvement initiatives.

Process Improvement & Program Metrics

• Define and track meaningful delivery metrics, including milestone adherence, predictability, lead time, defect trends, dependency resolution and release quality.
• Improve planning, estimation, prioritization, resource coordination and cross-team execution practices.
• Standardize program documentation, decision logs, status reporting and escalation processes.
• Identify opportunities to improve engineering productivity, delivery efficiency and collaboration.
• Promote a culture of ownership, transparency, accountability and continuous improvement.

Required Skills & Experience

• 10+ years of overall experience in software development, technical delivery, engineering or technology program management.
• 5+ years of experience managing complex technical projects or programs involving multiple teams and stakeholders.
• Strong understanding of software development lifecycle, Agile/Scrum methodologies, release management and program governance.
• Proven track record of delivering complex technology initiatives within agreed timelines and quality expectations.
• Strong technical understanding of enterprise application architecture, APIs, databases, cloud infrastructure and distributed systems.
• Experience managing dependencies, risks, competing priorities, scope changes and stakeholder expectations.
• Excellent written and verbal communication, analytical thinking, decision-making and problem-solving skills.
• Ability to engage effectively with both senior business stakeholders and hands-on engineering teams.
• Experience working with remote or geographically distributed teams.

Technical Knowledge

The candidate should have a strong working understanding of the following technologies and concepts:

• Backend: Node.js, Python, Flask, and/or FastAPI.
• Frontend: Angular or React, TypeScript, HTML and CSS.
• Cloud & Infrastructure: AWS, Azure or equivalent cloud platforms.
• Containers & Deployment: Docker, Kubernetes, CI/CD pipelines and Linux environments.
• Architecture: REST APIs, microservices, event-driven systems, multi-tenant SaaS and distributed applications.
• Data & Storage: Relational databases, data modeling, caching, object storage and data integration patterns.
• Engineering Practices: Version control, code review processes, automated testing, observability and production release management.

Note: This position requires technical fluency to guide and coordinate engineering delivery; expert hands-on proficiency in every technology is not mandatory.

Preferred Experience

• Experience in Enterprise SaaS, FinTech, RegTech, ESG, Sustainability, Compliance or Financial Reporting platforms.
• Experience delivering regulatory reporting, disclosure management, financial data processing or audit-focused software.
• Familiarity with XBRL, iXBRL, regulatory taxonomies, validation workflows or structured reporting standards.
• Experience managing multi-team programs involving complex integrations, large datasets and enterprise customer requirements.
• Experience coordinating cloud migrations, platform modernization, system integrations or architecture transformations.
• Familiarity with information security, data privacy, regulatory compliance and enterprise software delivery controls.

AI & LLM Experience

• Experience managing or delivering AI-powered applications involving some of the following:
• Large Language Models (LLMs), NLP and generative AI.
• Prompt engineering and structured output generation.
• Retrieval-Augmented Generation (RAG) and retrieval pipelines.
• LangChain and/or LlamaIndex.
• Vector databases such as FAISS, ChromaDB or Pinecone.
• Embeddings, semantic search and document intelligence.
• AI model evaluation, accuracy measurement and quality assurance.
• Integration with managed AI services and model providers.
• AI security, privacy, governance and responsible deployment practices.

Tools & Delivery Practices

• Experience with program and project management tools such as Jira, Azure DevOps or equivalent platforms.
• Proficiency in maintaining roadmaps, delivery plans, RAID logs, dependency trackers and executive status reports.
• Experience with Agile planning, sprint reviews, retrospectives, release coordination and cross-functional governance.
• Ability to define measurable outcomes and use delivery metrics to improve execution predictability