7+ years program/project management3+ years multi-workstream executive programsAgile at scale & phase-gate governanceRisk, budget & dependency managementExecutive & steering committee reportingRegulated environment deliveryCross-functional program leadershipAzure / Databricks / data platform programsPMP or PgMP certificationEnergy / utilities / pipeline integrity industryML / AI program deliveryBachelor's degree
Job Description
Irth Solutions is seeking a Senior Project Manager for their PMO to lead end-to-end delivery of an integrated asset-integrity and risk platform. The role involves managing complex cross-functional programs across Product, Engineering, Data Science, QA, Infrastructure, Marketing, Sales, and Customer Experience teams. Key responsibilities include delivery and schedule management, risk and budget oversight, governance and executive reporting, and cross-functional program leadership. The position requires 7+ years of program management experience with at least 3 years leading multi-workstream programs, proven expertise in regulated environments, and ability to balance Agile execution with phase-gated governance.
The Senior Project Manager will lead end-to-end delivery of Irth Solutions' integrated asset-integrity and risk platform. This role sits within the PMO and is responsible for coordinating delivery across Product, Engineering, Data Science, QA, Infrastructure, Marketing, Sales, and Customer Experience.
The Senior Project Manager will own the integrated delivery plan, schedule, budget, dependencies, risks, governance, and executive reporting to ensure the program delivers against agreed business outcomes and phase-gate commitments.
Key Responsibilities
Delivery & Schedule Management
•Own and maintain the integrated project plan across Product, Engineering, Data, QA, Infrastructure, and Go-to-Market workstreams.
•Establish and manage phase-gate milestones, release dates, and critical-path activities.
•Lead the weekly delivery cadence, including sprint and release checkpoints, workstream status reviews, cross-functional dependency management, critical-path reviews, and schedule recovery and corrective actions.
•Maintain a single source of truth for program status, milestones, dependencies, and delivery health.
•Reconcile the delivery plan against actual engineering and team capacity.
•Identify schedule slippage early and drive mitigation plans with accountable owners.
Risk, Budget & Decision Management
•Own the program risk register, covering technical, data, regulatory/compliance, vendor, resourcing, delivery, and operational risks.
•Ensure every material risk has a named owner, mitigation plan, target date, and escalation trigger.
•Track program budget and vendor spend, including Azure consumption, Databricks consumption, software and platform licensing, contractor costs, and other program-related vendor expenditure.
•Monitor actuals versus budget and flag variances early.
•Maintain the program decision log, documenting decision required, options and trade-offs considered, decision made, decision owner, rationale, date, and downstream impact.
•Ensure key decisions are documented clearly enough to support phase-gate reviews, governance, and future audits.
Governance & Executive Reporting
•Own the steering committee cadence, including agenda, pre-read materials, status reporting, decisions required, and actions and follow-up.
•Prepare concise Executive Sponsor updates covering overall program health, schedule, budget, key risks, dependencies, decisions required, and upcoming milestones.
•Prepare materials for steering committee and board-level reporting.
•Coordinate phase-gate approvals with the Executive Sponsor, who owns the business case and funding.
•Ensure governance forums result in clear decisions, accountable owners, and documented follow-through.
Cross-Functional Program Leadership
•Coordinate and manage the cross-functional project team across Product, Engineering, Data Architecture, Data Engineering, Data Science, Platform Engineering, QA, Infrastructure, Marketing, Sales, and Customer Experience.
•Establish clear ownership, accountability, timelines, and interdependencies across workstreams.
•Facilitate resolution of cross-functional blockers and escalate issues when required.
•Maintain alignment between technical delivery and commercial and customer-readiness activities.
•Coordinate with external customer design partners to ensure customer feedback and validation are incorporated into delivery.
Key Working Relationships
•Executive Sponsor — business case, funding, executive decisions, and phase-gate approvals
•Product Manager — product scope, priorities, requirements, and roadmap
•Engineering Manager — engineering execution, capacity, technical dependencies, and releases
•Data Architect — data architecture and platform dependencies
•Data Engineers — data pipelines, integration, and data readiness
•Data Scientists — analytics, models, experimentation, and data science deliverables
•Platform Engineers — platform, cloud, and environment readiness
•QA — quality strategy, testing, defects, and release readiness
•Infrastructure — environments, infrastructure, reliability, and operational readiness
•Customer Experience — customer adoption, feedback, implementation readiness, and support
•External Customer Design Partners — validation, feedback, and product readiness
Core Deliverables
•Integrated master project plan
•Detailed milestone and phase-gate schedule
•Weekly program status report
•Dependency tracker
•Critical-path analysis
•Program risk and issue register
•Program budget and vendor-spend tracker
•Decision log
•Steering committee agenda and materials
•Executive Sponsor and board reporting
•Phase-gate readiness assessments
•Cross-functional action tracker
•Release and go-to-market readiness plan
Success Measures
•Milestones are predictable and phase gates are achieved or proactively re-baselined.
•Risks are visible early, with clear ownership and mitigation.
•Budget and cloud/vendor spend are controlled with no surprise variances.
•Dependencies are actively managed, rather than discovered late.
•Product, Engineering, Data, QA, and Go-to-Market teams remain aligned.
•Executives have a clear, accurate view of program health and decisions required.
•Major decisions and trade-offs are documented and auditable.
•The platform reaches launch with technical, operational, commercial, and customer readiness aligned.
Role Positioning
This is an execution and orchestration role. The Senior Project Manager does not own the product roadmap, technical architecture, or business case; instead, they ensure the people who own those areas are aligned, accountable, and delivering against an integrated plan.
Required Qualifications
•7+ years of experience managing complex software, technology, or data-platform programs, including at least 3 years leading multi-workstream programs with executive visibility.
•Demonstrated end-to-end ownership of program schedule, budget, dependencies, risks, and delivery outcomes for programs of comparable scope. This should be direct ownership, not coordination support for another project manager's plan.
•Experience delivering programs in a regulated environment, where audit trails, evidence, documentation, and traceability are core delivery requirements.
•Strong experience running Agile delivery at scale alongside phase-gated executive governance, with the ability to translate between Agile execution and executive-level milestones and decisions.
•Proven track record establishing and managing decision logs, risk and issue registers, dependency trackers, executive dashboards, and program status reporting.
•Excellent written and verbal communication, with the ability to create clear project dashboards and executive updates.
•Experience managing external customer, partner, or design-partner commitments as integrated components of the delivery plan.
•Strong cross-functional leadership skills, with the ability to drive accountability across Product, Engineering, Data, QA, Infrastructure, Commercial, and Customer Experience teams.
Preferred Qualifications
•Experience in pipeline integrity, utilities, energy, infrastructure, or another asset-intensive regulated industry.
•Experience delivering data-platform, ML, or AI programs using Microsoft Azure, Databricks, Lakehouse architectures, model registries, model serving, and data/model governance.
•Four-year degree or equivalent professional experience.
•PMP, PgMP, or equivalent program/project management certification.
•Experience integrating an acquired team, product, platform, or technology into an existing organization or operating model.
Compensation & Benefits
•Salary range: USD $145,000 - $160,000 base salary
•Medical, Dental, and Vision Insurance
•401(k) Plan with Company Match
•Generous Paid Time Off (PTO)
•Company-Paid Holidays
•Flexible Work Options including work-from-home opportunities depending on role and business needs
•On-Call Compensation for eligible on-call shifts
Resume Intelligence
Assess your experience against this job and tailor your bullet points instantly.
Sign in required
Please sign in to assess your resume alignment and generate custom copyable work bullets.