Workplace Technical Operations Lead

JPMorganChase•Plano, TX

About The Position

As a Workplace Technical Operations Lead in Workplace Technology, you lead operational rhythm and delivery governance for complex, multi-workstream technology initiatives supporting workplace and Retail Branch programs. You translate business objectives into executable roadmaps, measurable milestones, and transparent reporting, and improve delivery efficiency through workflow automation, advanced analytics, and fit-for-purpose tooling. You balance scope, schedule, financial stewardship, risk management, and stakeholder experience while partnering with program and product stakeholders and coordinating across engineering, infrastructure, end-user technology, finance, service operations, vendors, and business partners. You establish standards that improve consistency and quality across planning, execution, and controls, and help teams adopt approved AI-assisted engineering practices with clear validation expectations for correctness, performance, and security.

Requirements

Five years of experience leading complex technology programs, infrastructure deployments, or enterprise transformation initiatives.
Demonstrated experience managing multi-workstream delivery across cross-functional stakeholders and vendors.
Proven ability to improve execution using automation, data analytics, and modern work management practices.
Experience leading effective use of approved AI-assisted software development tools, with the ability to set team expectations for validating outputs for correctness, performance, and security.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption.
Hands-on experience with workflow or work management platforms, such as Monday.com, to automate workflows and reporting.
Experience producing portfolio-level reporting, executive dashboards, and operational metrics, with strong attention to data quality.
Demonstrated financial management skills, including forecasting, budget tracking, and business case support.
Strong risk management and control mindset, including clear documentation and governance discipline.
Excellent written and verbal communication skills, including the ability to influence and align senior stakeholders.
Working knowledge of software delivery practices and tooling across the Software Development Life Cycle.

Nice To Haves

Experience delivering technology solutions in workplace, retail, or built-environment programs, such as sites, branches, offices, or construction.
Advanced experience configuring workflow automations, portfolio dashboards, and resource views within a work management platform.
Experience establishing standards for validating AI-assisted engineering outputs for correctness, performance, and security.
Knowledge of responsible AI practices, including data sensitivity considerations and secure handling of prompts, inputs, and outputs.
Experience leading organizational change initiatives and driving adoption of new operating models and tools.

Responsibilities

Lead end-to-end delivery governance for large, cross-functional workplace technology programs from initiation through implementation.
Define program operating cadence, milestones, dependencies, and success metrics to improve predictability and accountability.
Implement workflow automation to reduce manual reporting, improve data quality, and accelerate decision-making.
Build portfolio dashboards and executive-ready reporting using advanced analytics and automated data pipelines.
Manage program financials, including forecasting, budget tracking, capitalization planning inputs, and variance commentary.
Partner with risk and control functions to ensure delivery practices align with required controls, documentation, and audit readiness.
Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing validation standards and promoting reuse of effective patterns.
Apply knowledge of Software Development Life Cycle tools, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized from automation.
Drive continuous improvement initiatives that streamline intake, planning, resource forecasting, and delivery processes.
Coordinate delivery across internal teams and external vendors to resolve blockers and maintain alignment on outcomes.
Mentor team members and promote operational excellence, innovation, and inclusive collaboration.
Establish expectations for safe and compliant use of approved AI-assisted engineering tools, including validation standards and secure handling of inputs and outputs.
Communicate clearly with stakeholders at all levels, escalating risks early and proposing actionable options.