Technical Product Manager - Operations Project Delivery

CoVolt Power•Houston, TX

7d•Hybrid

About The Position

The Technical Product Manager - Operations Project Delivery owns the technology roadmap for CoVolt Power’s Project Delivery and field operations capabilities. The role translates business needs into product requirements, prioritizes the backlog, and drives delivery of tools, integrations, reporting, and AI-enabled capabilities across the construction lifecycle, from project setup and field execution through closeout. It is product-led rather than order-taking: Project Delivery and field operations own operating processes and execution outcomes, while this role owns the product roadmap, platform capability, integrations, data readiness, and delivery and adoption support. The role partners with Project Delivery, field operations, project controls, finance and payroll, safety and quality, data/BI, enterprise architecture, security, and change management. It is an individual-contributor position based in the Houston office on a hybrid schedule of three days in office and two remote; remote candidates are not eligible. The position reports to the Director, Enterprise Digital Products and owns the product roadmap, integration strategy, and governance for Vista ERP and corporate applications.

Requirements

Experience owning a product roadmap, backlog, requirements, prioritization, releases, and stakeholder alignment in a complex enterprise environment.
Ability to understand project delivery, field execution, project controls, timekeeping, quantity capture, productivity, jobsite operations, and closeout workflows, and to design for jobsite realities such as mobile devices, connectivity, training, support, and operational change.
Hands-on experience with ERP, construction/project management, field, collaboration, and reporting/BI systems.
Comfort making source-of-truth decisions and working with master data, APIs and integrations, data quality, and cross-system process design.
Track record of delivering MVPs, managing scope, coordinating testing, and moving from discovery to adoption without allowing complexity to stall progress.
Practical understanding of where AI can improve decision quality and cycle time, balanced with security, privacy, quality, and business accountability.
Ability to communicate complex tradeoffs clearly to business leaders, translate technical constraints into decisions, and prioritize practical solutions with clear business value and an adoption path.
Must be based from the Houston office and work a hybrid schedule of three days in office and two remote; remote candidates are not eligible.

Nice To Haves

Experience in construction, EPC, renewable energy, field operations, project controls, or project-based businesses, especially jobsite execution, labor productivity, field reporting, or operational dashboards.
Hands-on experience with platforms such as Procore, Vista/Viewpoint, B2W Track, UKG, LCPTracker, Power BI, Snowflake, SharePoint, Smartsheet, Fleetio, Motive, Azure, or Microsoft 365/Copilot, supporting time and attendance, payroll, quantity, productivity, cost, jobsite dashboards, safety/quality, or equipment/fleet data from requirements through adoption.
Experience delivering AI-enabled field capabilities and cross-functional initiatives involving documentation, progress validation, exception detection, or operational analytics in a governed enterprise environment, in partnership with architecture, security, data/BI, OCM, finance, and field leadership.

Responsibilities

Own and manage the prioritized Project Delivery product roadmap for construction, jobsite, and field operations technology, aligned with project execution priorities, business value, process maturity, and enterprise architecture principles.
Translate business needs and field pain points into product requirements, user stories, acceptance criteria, and release priorities in partnership with relevant business and technology teams.
Advance field technology capabilities supporting field execution, time capture, productivity, cost, equipment, and compliance across platforms including Procore, Vista/Viewpoint, B2W Track, UKG, LCPTracker, Power BI/Snowflake, SharePoint/M365, Smartsheet, Fleetio, and Motive.
Own the backlog for real-time site visibility, jobsite dashboards, operational intelligence, digital time, attendance, and productivity, including field approval workflows, payroll integration, and fraud-prevention/location controls.
Own master data, data quality, and integration readiness to enable trustworthy, scalable quantity, cost, and executive-ready reporting.
Define platform ownership and system-of-record boundaries for data domains to reduce duplicate entry, uncontrolled trackers, and inconsistent field data.
Identify and advance practical AI and automation use cases, including field documentation assistance, daily report summarization, progress validation, exception detection, productivity insights, safety and quality trend analysis, and project knowledge reuse.
Manage intake, backlog refinement, MVP scoping, release planning, testing, adoption feedback, hypercare coordination, and continuous improvement for Project Delivery technology initiatives.
Partner with architecture, security, data, organizational change management, and support teams to align solutions with integration patterns, identity and security standards, mobile and jobsite infrastructure, support readiness, change impact, training, and operational handoff.
Establish a prioritized roadmap and backlog with business outcomes, owners, dependencies, and near-term MVP releases.
Clarify business and IT ownership, support paths, integration touchpoints, and system-of-record boundaries for major construction and field tools.
Define MVP scope, data sources, adoption paths, and support needs for site digitalization, operational dashboards, timekeeping visibility, and productivity reporting.
Reduce manual work by identifying paper forms, whiteboards, spreadsheets, and offline approvals for automation or integration, and establish owners, definitions, quality expectations, and refresh standards for key data domains.
Scope AI use cases with clear value, governance, and human-in-the-loop controls, and measure working releases through usage, adoption, field impact, and business-value KPIs.