Engagement Manager
Treasure AI · 173 days ago
Treasure AI:
トレジャーAIの社員は情熱的で、データドリブン、そして顧客第一主義です。私たちは、自ら行動を起こし、ニーズを先読みし、主体的に問題解決に取り組むドライバーの集まりです。私たちの行動は、誠実さ、信頼性、オープンさ、そして謙虚さという価値観を体現しています。
YOUR ROLE
Lead end-to-end delivery of customer engagements from scoping through execution and renewal. Serve as the primary contact for client stakeholders while managing cross-functional teams to ensure on-time, in-scope delivery aligned to business outcomes.
KEY RESPONSIBILITIES
Client & Delivery Management
-
Primary point of contact for assigned engagements across business and technical stakeholders
-
Lead project governance including steering committees, status reviews, and executive readouts
-
Translate client objectives into clear engagement plans with measurable success criteria
-
Manage client expectations, scope boundaries, and change requests; escalate and resolve conflicts
Project Execution & Governance
-
Own engagement plan including scope, timelines, milestones, dependencies, and resources
-
Coordinate cross-functional teams (Solution Architects, Data Engineers, Product, Support)
-
Implement delivery governance: RAID logs, status reports, change control, communication plans
-
Ensure quality project artifacts: charters, SOWs, status decks, runbooks, handover documentation
Commercial & Value Delivery
-
Own services SOW: scope, assumptions, deliverables, acceptance criteria
-
Identify upsell/cross-sell opportunities with Sales and Customer Success
-
Define and track value metrics: adoption, performance, time-to-value, business impact
-
Drive user adoption and change management with client sponsors
Risk & Quality Management
-
Maintain consolidated view of project health: schedule, scope, budget, risks, satisfaction
-
Anticipate and mitigate delivery risks; manage dependencies across teams
-
Enforce best-practice methodologies (agile/hybrid delivery, SDLC, data & AI standards)
REQUIRED QUALIFICATIONS
-
Bachelor's degree in Business, Engineering, Computer Science, or related field
-
7+ years in consulting, professional services, or project management with enterprise customers
-
Proven track record leading complex, multi-stakeholder implementations (SaaS, data/analytics, AI/ML, MarTech/CDP)
-
Strong stakeholder management with clear, confident communication skills
-
Expertise in project management: planning, estimation, risk management, governance
-
Experience owning SOWs, budgets, and profitability for services engagements
-
Excellent presentation skills; ability to translate technical topics into business language
-
Experience in global, cross-functional environments across time zones
PREFERRED QUALIFICATIONS
-
Experience with CDPs, marketing technology, data platforms, or AI/ML implementations
-
Professional certifications: PMP, PRINCE2, Scrum Master, SAFe
-
Background in data & analytics, cloud platforms (AWS/Azure/GCP), or enterprise SaaS
-
Experience collaborating with partners/SIs in shared delivery models Working Policy
KEY COMPETENCIES
-
Client-centric mindset focused on outcomes and long-term relationships
-
Structured problem-solving; comfortable with ambiguity
-
Ownership and accountability for results
-
Strong influencing and negotiation skills
-
Operational rigor in planning, reporting, and financial tracking
