Senior Analyst, Value Creation – AI Transformation

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QAD

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1979

🏢 Enterprise

☁️ SaaS

Enterprise • SaaS • Supply Chain

QAD is a company specializing in enterprise resource planning and industrial transformation solutions. Their Adaptive Enterprise platform helps businesses optimize processes, align people with technology, and manage critical business challenges. QAD's offerings include software for manufacturing, inventory management, supply chain planning, quality management, and global trade compliance. Their solutions serve a range of industries, including automotive, consumer products, food and beverage, industrial manufacturing, and more. The company focuses on becoming an adaptive enterprise by integrating advanced scheduling and data-driven insights.

📋 Description

• Support Enterprise Value Creation Initiatives • Help translate high-level strategic priorities into specific, measurable initiatives with clear owners, milestones, KPIs, dependencies, and expected business impact • Build and maintain initiative trackers, value bridges, KPI dashboards, business cases, and executive reporting materials • Partner with functional teams across Engineering, Product, GTM, Support, Professional Services, Customer Success, Finance, HR, and Legal to track progress, identify blockers, and support issue resolution • Support regular operating rhythms, including leadership reviews, SteerCo materials, initiative readouts, and follow-ups from executive discussions • Conduct analysis to size opportunities, assess benefits, track actual vs. planned impact, and identify areas requiring management attention • Help Drive QAD’s AI Transformation Agenda • Support the identification, prioritization, and tracking of AI initiatives across functions, including Engineering productivity, Support diagnostics and resolution, Professional Services automation, GTM productivity, Finance / BI enablement, HR, and Legal • Help structure AI use cases into clear problem statements, workflows, data / system requirements, expected outputs, adoption metrics, and business outcomes • Define and track AI success metrics, including adoption, usage depth, cycle time reduction, productivity improvement, throughput, quality, backlog reduction, and financial impact • Partner with business teams, technical teams, and external vendors to move AI initiatives from concept to pilot to scaled deployment • Support executive-level reporting on AI transition progress, including Board / leadership updates, initiative status, benefits realization, risks, and key decisions needed • Help establish practical measurement models that link AI usage to operational outcomes, not just activity • Support Operating Model and SI Transition Work • Support enterprise operating model workstreams, including current-state diagnostics, future-state design, workflow decomposition, role / responsibility mapping, and implementation planning • Help coordinate across internal teams, third-party advisors, and implementation / systems integration partners to ensure continuity between strategy, design, and execution • Support the transition from high-level transformation design to detailed L3 / L4 workflow definition, requirements, blueprints, PRDs, and implementation roadmaps • Track dependencies, risks, decisions, and follow-ups across internal teams and external partners • Help ensure implementation partners are set up with the right context, documentation, governance, and success metrics to execute effectively in later phases • Build Executive-Ready Analysis and Materials • Prepare concise, high-quality materials for senior leadership discussions, operating reviews, Board updates, and cross-functional working sessions • Synthesize inputs from interviews, data, transcripts, functional plans, and project updates into clear insights and recommended actions • Build Excel / Sheets-based analyses, KPI trees, initiative scorecards, benefit trackers, and simple financial models • Convert ambiguous or unstructured inputs into clear problem statements, decision points, and next steps • Ensure reporting focuses on outcomes, value delivery, risks, and decisions needed — not just activity updates

🎯 Requirements

• 2–5 years of experience in management consulting, private equity value creation, corporate strategy, business operations, transformation, program management, or a similar analytical / execution-oriented role • Strong analytical skills, including comfort with Excel / Google Sheets, financial logic, KPI analysis, business cases, and operational metrics • Strong written and verbal communication skills, with the ability to synthesize complex inputs into clear, executive-ready materials • Demonstrated ability to manage multiple workstreams, track follow-ups, and drive accountability across cross-functional teams • Comfort working with senior stakeholders and translating ambiguous asks into structured outputs • High ownership, strong attention to detail, and the ability to operate independently in a fast-paced environment • Interest in AI, business transformation, software, enterprise technology, or operational improvement

🏖️ Benefits

• health and well being programs to help you strike a healthy work-life balance • Opportunity to join a growing business, launching into its next phase of expansion and transformation • Collaborative culture of smart and hard-working people who support one another to get the job done • An atmosphere of growth and opportunity, where idea-sharing is always prioritized over level or hierarchy