• Ensure all construction activities are executed in compliance with project drawings, specifications, schedules, budget, safety, and quality requirements • Work closely with the Project Manager to develop and maintain project construction timelines through efficient use of on-site resources including manpower, materials, tools, and equipment • Manage subcontractors on site in collaboration with the Project Manager, including tracking production, and maintaining project schedule and contract budget • Work with the Project Manager to develop project execution plans, kick-off meetings, contract and scope reviews, ensuring data center-specific commissioning and handover milestones are incorporated • Maintain the company's quality management program in collaboration with the on-site Quality Representative, ensuring delivery of a quality product per design and contract requirements • Utilize the Change Management System in collaboration with the Project Manager; work with the client to review and close all RFIs and change orders in a timely manner • Mentor, train, and motivate job-site crews in adopting a culture of safety, quality, and production; empower crews to remain knowledgeable of company policies and procedures • Ensure all daily reporting, daily work plans, and crew timesheets are completed and submitted daily • Support internal and external audit and inspection activities; conduct equipment reviews and scheduling as required

• Develop and maintain construction execution plans, organizing and controlling all aspects of on-site work including civil, electrical, mechanical, structural, and technology infrastructure scopes • Monitor construction progress and implement corrective actions; ensure all internal and external project processes are followed and projects are delivered on time, on budget, and safely • Coordinate manpower and subcontractor allocations across multiple projects; work with Fleet and Equipment teams to ensure appropriate resources are deployed effectively • Work with QA/QC Management teams to ensure adequate quality oversight including compliance with data center commissioning requirements • Lead daily planning sessions with on-site personnel and prepare progress reports for the Director outlining project performance against schedule, budget, safety, and quality metrics • Support Human Resources in managing labour relations across both union and non-union workforces as applicable to project requirements • Lead training and development of field crews, supervisors, and foremen; support recruitment of field supervisory staff • Support the estimating and proposal process including reviewing estimate requirements, submittal packages, pricing, scheduling, and preparation of written deliverables • Manage existing client relationships and support the development of new customer relationships

• Own the end-to-end technical strategy and execution roadmap for AI-enabled product capabilities across the StarCompliance platform. • Drive adoption of generative AI, LLM-based architectures, predictive analytics, graph intelligence, recommendation systems, and semantic search where these deliver measurable customer value. • Own the data foundation strategy, ensuring clean, trusted, well-governed data underpins every AI initiative. • Build robust MLOps capabilities, including model training pipelines, versioning, monitoring, A/B experimentation, and drift detection. • Champion pragmatic AI adoption within engineering and product development, accelerating how we build, not just what we build. • Build, mentor, and scale a high-performing Data & AI organisation across data engineering, data science, ML engineering and analytics. • Work closely with the CTO and executive team to align AI and data initiatives with company strategy and commercial priorities. • Partner with the Product Director, AI & Data Products, co-owning the AI roadmap, prioritisation, and delivery outcomes.

• This role will focus on the outward-facing integration layer—ensuring that mainframe data and services can be effectively consumed by digital channels, analytics platforms, data lakes, technologies, and modern applications. • Own the services that expose mainframe transactions and data as modern, consumable APIs for digital use cases, working closely with product and engineering teams to package and deliver mainframe services to external clients using API enablement. • Define and communicate a clear product vision for our mainframe hybrid data & integration services portfolio. • Craft compelling value propositions that resonate with both technical buyers and business stakeholders. • Drive the commercial success of your product portfolio, including pricing strategy, packaging, sales enablement, and go-to-market planning. • Own the product roadmap for your portfolio, making prioritization decisions based on customer value, strategic alignment, and commercial impact. • Develop deep understanding of customer needs, pain points, and buying behaviors related to mainframe data accessibility and integration challenges. • Work cross-functionally with engineering, architecture, sales, marketing, finance, and customer success teams.