IT Business Analysis Manager (Panyu, Guangzhou, China)

Job Summary: The Manager, Business Analysis is responsible for leading the Business Analyst team supporting VLP, OMS/B2B, DTC, and Marketing/Sales Office business domains. This role owns BA practice maturity, delivery governance, stakeholder alignment, requirements quality, solution readiness, and future-state business process design across multiple business and technology initiatives.

As a senior business technology partner, this role connects business strategy, future-state process design, solution architecture alignment, data-driven decision-making, and AI-enabled transformation to deliver scalable and sustainable digital capabilities. The role partners closely with business stakeholders, product owners, engineering, solution architecture, enterprise architecture, data, delivery, regional/global teams, and external partners to translate business needs into practical, scalable, and future-ready solution directions.

As a senior BA leader, this role balances people leadership, delivery ownership, and digital transformation enablement. The role is accountable for coaching and developing Business Analysts, managing BA capacity and priorities, and advancing the organization’s use of AI, GenAI, automation, analytics, and modern digital tools within BA and solution delivery practices to improve discovery, documentation, process analysis, decision support, requirements quality, solution assessment, and operational efficiency.

Essential Functions & Responsibilities

BA Team Leadership & People Management (25%)

Lead, coach, and develop the BA team, including goal setting, performance feedback, capability development, and career growth.

Support hiring, onboarding, workload planning, and team engagement to build a high-performing, accountable, and future-ready BA team.

Create a collaborative team culture focused on quality, ownership, business partnership, continuous improvement, and responsible adoption of new tools and methods, including AI-enabled ways of working.

Delivery Governance, Requirements Quality & Solution Readiness (25%)

Own BA delivery governance across VLP, OMS/B2B, DTC, and Marketing/Sales Office initiatives, ensure requirements, process flows, BRDs, user stories, acceptance criteria, business rules, data requirements, integration needs, non-functional considerations, and UAT support materials are clear, complete, traceable, and aligned with delivery objectives.

Partner with project, product, engineering, solution architecture, enterprise architecture, data, and delivery teams to manage scope, risks, dependencies, readiness, and quality of BA deliverables throughout the delivery lifecycle.

Ensure business requirements are translated into solution-ready inputs that support scalable architecture, reusable capabilities, system integration, data consistency, security expectations, and long-term platform strategy.

Promote the use of AI-enabled tools where appropriate to improve requirement gathering quality, requirement traceability, impact analysis, and delivery efficiency.

Stakeholder Management & Cross-Functional Alignment (20%)

Serve as a senior BA partner to business and technology stakeholders, facilitating discovery, prioritization, decision-making, and alignment across domains.

Translate business needs into solution direction and help stakeholders understand scope, trade-offs, risks, impacts, dependencies, and delivery outcomes.

Build trusted relationships with business process owners, product teams, engineering teams, solution architects, enterprise architects, data teams, regional/global partners, and external vendors where applicable.

Use structured analysis, business data, process insights, and digital performance indicators to support fact-based stakeholder decisions.

Domain Strategy, Solution Architecture Alignment, AI Enablement & Future-State Process Design (20%)

Provide BA leadership across VLP, OMS/B2B, DTC, and Marketing/Sales Office domains by developing a strong understanding of business processes, system capabilities, data flows, integration points, pain points, architecture constraints, and improvement opportunities.

Guide future-state process design, capability mapping, solution framing, and operating model improvements to increase efficiency, scalability, adoption, and business value.

Partner with solution architects and engineering teams to evaluate solution options, clarify trade-offs, assess business impact, and ensure proposed solutions align with enterprise architecture principles, platform standards, integration patterns, data governance expectations, security considerations, and long-term digital strategy.

Identify opportunities to apply AI, GenAI, automation, analytics, and workflow optimization to improve business processes, reduce manual effort, enhance decision-making, and support digital transformation.

Ensure local and regional business requirements are aligned with enterprise platforms, governance expectations, AI governance principles, and scalable solution architecture.

BA Standards, Practice Maturity & Continuous Improvement (15%)

Define, maintain, and improve BA standards, templates, documentation practices, governance routines, and quality expectations.

Establish consistent ways of working for discovery, requirements management, process modeling, solution validation, UAT readiness, change support, benefits realization, and decision documentation.

Drive BA practice maturity by introducing improved tools, methods, metrics, reusable assets, and knowledge management practices.

Promote BA community development through mentoring, knowledge sharing, lessons learned, and adoption of modern digital and AI-enabled productivity practices.

Qualifications

Education:

• Bachelor’s degree in Business Administration, Supply Chain Management, Information Systems, or a related field. A Master’s degree is a plus.

Certifications:

• Business analysis, product ownership, project delivery, Agile, data, AI, solution architecture, or digital transformation-related certification is preferred, such as:
• CBAP
• PMI-PBA
• CSPO
• SAFe
• PMP
• ACP
• Product Management certification
• Data Analytics certification
• AI / GenAI business certification
• Solution Architecture-related certification
• Or equivalent professional certification

Work Experience:

• Minimum 10 years of progressive experience in business analysis, digital delivery, product delivery, enterprise systems, business transformation, or technology-enabled process improvement roles.
• Minimum 8+ years of team leadership, people management, or direct BA practice leadership experience, including coaching, performance feedback, workload planning, capability development, and team engagement.
• Demonstrated experience leading BA delivery across multiple business domains, preferably including OMS / Order Management, B2B, DTC, Marketing, Sales, VLP, ERP, CRM, eCommerce, supply chain, commercial systems, customer-facing digital platforms, or enterprise integration environments.
• Proven experience managing end-to-end BA activities across regional or global initiatives, including business discovery, requirements management, future-state process design, solution validation, UAT support, stakeholder alignment, delivery governance, and change readiness.
• Experience building or improving BA standards, documentation governance, requirements quality, traceability, delivery routines, and BA capability maturity across teams or programs.
• Experience working closely with solution architects, enterprise architects, engineering teams, data teams, integration teams, security teams, product teams, and delivery teams to translate business requirements into scalable, enterprise-aligned solution designs.
• Demonstrated experience supporting solution framing, capability mapping, system impact assessment, integration analysis, data flow understanding, architecture alignment, trade-off assessment, and technical feasibility discussions.
• Experience supporting solution decisions across enterprise platforms, preferably involving OMS, ERP, CRM, eCommerce, B2B, DTC, marketing technology, sales platforms, data platforms, API platforms, integration middleware, or workflow automation platforms.
• Experience working with cross-functional business and technology stakeholders to manage scope, risks, dependencies, priorities, business impacts, and delivery outcomes.
• Experience using business data, process insights, analytics, or digital performance indicators to support prioritization, solution design, operational improvement, and stakeholder decision-making.
• Exposure to AI, GenAI, automation, RPA, process mining, workflow optimization, intelligent enterprise solutions, or AI-enabled productivity tools is preferred.
• Experience helping teams adopt new digital tools, AI-enabled productivity methods, or automation opportunities in a controlled, practical, and business-value-oriented manner is preferred.