Brightree
Professional Services Strategy & Optimization Lead
Peachtree Corners, GA, United States
Sponsorship not specifiedDetected 16 days ago
PythonSQLProcess ImprovementCustomer SupportLeadershipCommunicationCollaborationProblem Solving
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odds of building a lasting career here
37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
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Files H-1B transfers
1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 8 days. An employer that already files transfers is one that can take over an existing H-1B.
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About the role
- Your work will directly influence how customer implementations are executed, helping teams reduce complexity, improve predictability, and accelerate time-to-value.
Responsibilities
- Design standardized and preconfigured implementation approaches for customer segments with common requirements.
- Develop reusable implementation templates, playbooks, workflows, and delivery assets that reduce variation and streamline execution.
- Lead the identification, evaluation, and adoption of AI-enabled delivery capabilities, automation solutions, and scalable implementation methodologies that enhance efficiency, consistency, and customer outcomes.
- Partner with Professional Services leaders and delivery teams to understand challenges and drive continuous improvement initiatives.
- Collaborate with Product, Data Services, Operations, and other cross-functional teams to implement scalable solutions.
- Professional Services Strategy & Optimization Lead
- As a Professional Services Strategy & Optimization Lead, you'll use data, operational insights, and cross-functional collaboration to identify opportunities to improve how implementations are planned, delivered, and scaled.
- In this role, you'll partner across Professional Services, Product, Data Services, and Customer Support to analyze implementation trends, develop scalable delivery models, and create repeatable approaches that drive greater efficiency and consistency.
Requirements
- Experience in Professional Services, Technical Services, Solution Architecture, Service Delivery, Operations, or a related function within a SaaS environment.
- Strong understanding of SaaS implementation lifecycles, including onboarding, configuration, integrations, data migration, implementation planning, and customer adoption.
- Strong analytical and problem-solving capabilities with the ability to translate complex information into practical recommendations.
- Experience driving process improvement, operational efficiency, automation, or standardization initiatives.
- Strong communication skills with the ability to influence technical and non-technical stakeholders.
- Sound business judgment and the ability to balance standardization with customer outcomes.
- Ability to thrive in a fast-moving environment where priorities, technologies, and customer needs evolve.
- Experience using operational, customer, or delivery data to uncover actionable insights and drive business improvements.
- Experience developing scalable delivery frameworks, implementation methodologies, playbooks, or reusable service assets.
- Ability to recognize common customer needs and create repeatable delivery approaches that support scale.
Nice to have
- Experience using SQL to analyze operational or customer data.
- Experience using Python for analysis, reporting, or automation initiatives.
- Experience with AI, advanced analytics, service transformation, or operational excellence programs.
- What Sets You Apart
- Change Champion: Influence adoption of new ideas and ways of working that improve consistency and effectiveness.
Company info
- Professional Services plays a critical role in helping customers successfully adopt solutions, achieve outcomes faster, and realize long-term value.
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This listing is sourced directly from Brightree's careers page and normalized into a canonical job model.