描述
Process Improvement Consultant – Quality & Platform Operations
Role Summary
The AI‑Oriented QA, Process Intelligence & Lean Consulting Analyst serves as an internal consultant and Lean practitioner within Unified Support, partnering with leaders to diagnose problems, design solutions, and drive measurable operational outcomes.
This role blends Quality Assurance, Process Intelligence, Lean Six Sigma practice, and AI‑enabled problem solving. Microsoft Copilot and AI tools are used as daily productivity and analysis amplifiers—supporting structured thinking, accelerating insight generation, and enabling consultant‑grade recommendations grounded in data and operational reality.
The analyst operates with a consulting mindset: framing ambiguous problems, guiding stakeholders through root‑cause discovery, designing future‑state operating models, and ensuring improvements are implemented, adopted, and sustained.
Unified Support Scope
- Platform‑enabled, multi‑tier Unified Support operations
- Quality assurance, defect trend analysis, and systemic risk identification
- End‑to‑end service and process analysis (intake → resolution → escalation → closure)
- Lean transformation and continuous improvement initiatives
- Cross‑functional consulting with Product, Engineering, Tools, and Operations
Key Responsibilities
1. Internal Consulting & Problem Framing (Lean Practitioner)
- Act as an internal process and quality consultant to Unified Support leadership and operational teams
- Translate vague or symptomatic issues into clear problem statements, and project charters
- Apply Lean Six Sigma methodologies (DMAIC, SIPOC, VSM, RCA, PFMEA) to structure analysis and decision‑making, when applicable and appropriate.
- Facilitate discovery sessions, and stakeholder meetings to align on problems and solutions
- Guide teams from analysis through execution, adoption, and sustainment
2. AI‑Enhanced Quality Analysis
- Perform deep‑dive QA analyses using structured frameworks augmented by Copilot (e.g., trend clustering, issue categorization, thematic synthesis), from extracted data set
- Identify systemic quality gaps, recurrence patterns, and failure modes across Unified Support cases and workflows from extracted data set
- Use AI to accelerate signal extraction from large qualitative and quantitative datasets (tickets, audits, feedback, SOPs)
- Validate AI‑generated insights through human judgment, domain expertise, and Lean rigor
- Translate findings into prioritized, value‑driven improvement recommendations
3. Process Improvement & Analysis
- Identify inefficiencies, bottlenecks, and non-value-adding activities across end-to-end processes
- Analyze current-state workflows and define optimized future-state designs
- Apply Lean Six Sigma and structured problem-solving methodologies to drive improvements
- Develop process documentation, visual maps, and standard operating procedures
- Evaluate process performance and recommend sustainable solutions
4. AI‑Driven Productivity & Consulting Deliverables
- Use Copilot as a consulting and thinking partner to:
- Draft executive‑ready analyses, narratives, and recommendations
- Synthesize complex inputs into clear decision points
- Accelerate creation of SOPs, process maps, RCA summaries, and governance artifacts
- Ensure all AI‑supported outputs meet consulting standards for accuracy, traceability, and business relevance
- Continuously refine AI workflows and prompts to improve analytical throughput and quality
5. Data‑Driven Root Cause & Impact Analysis
- Lead structured Root Cause Analysis supported by AI‑assisted pattern detection
- Connect defects and failures to underlying process, tooling, policy, capacity, or capability gaps
- Quantify business, operational, and customer impact (volume, severity, cost, risk, recurrence)
- Ensure recommended solutions address true root causes, not surface symptoms
6. Stakeholder Partnership & Change Enablement
- Serve as a trusted advisor to Unified Support leaders, process owners, and partner teams
- Influence decisions through logical reasoning, data‑backed insights, and clear storytelling
- Partner with Product, Engineering, and Tools teams to ensure solutions are feasible and integrated
- Support change adoption through clarity of design, ownership, and performance measures
7. Continuous Improvement & Governance
- Establish and maintain quality and process governance mechanisms
- Define standards, controls, KPIs, and success metrics aligned to Lean principles
- Track post‑implementation effectiveness and sustainability of improvements
- Proactively surface emerging risks and degradation signals using AI‑enabled insights
Required Experience & Qualifications
- 6–10+ years of experience in process improvement, operational excellence, or quality
- Strong background in Lean, Six Sigma, or similar methodologies (Black Belt or Green Belt preferred)
- Proven experience leading cross-functional improvement initiatives
- Experience in process design, re-engineering, and transformation
- Strong analytical and problem-solving capability with ability to structure complex issues
- Experience working in platform, technology, or service-oriented environments
- Practical experience using AI tools (e.g., Microsoft Copilot) to support professional analysis and consulting outputs
AI & Analytical Capabilities (Must‑Have)
- Strong analytical judgment with disciplined validation of AI‑generated insights
- Ability to use AI to accelerate:
- Trend and defect analysis
- Hypothesis formulation
- Process documentation and synthesis
- Executive decision support
- Capability to clearly explain how insights were derived, what assumptions exist, and why recommendations matter
- High data literacy across quantitative metrics and qualitative signals
Core Competencies
- Process thinking and systems-level problem solving
- Project and program leadership
- Stakeholder management and influence
- Data-driven decision making
- Communication and executive storytelling
- Ability to operate effectively in a matrixed, global environment
Success Indicators
- Delivery of sustainable process improvements and scalable solutions
- Strong stakeholder alignment and adoption of changes
- Improved operational consistency and process maturity
- Effective translation of business challenges into structured solutions
- Demonstrated impact through implemented initiatives and capability building
This role is fundamentally a Lean consultant role, amplified by AI—using technology to accelerate clarity, sharpen judgment, and deliver sustainable operational improvement.
