Lead Implementation Manager -myQ Enterprise
Chamberlain GroupFull Time
Senior (5 to 8 years)
Candidates should possess 5+ years of experience managing complex, customer-facing software implementations in enterprise environments, ideally within high-growth SaaS, along with strong communication skills and a bias for action. Familiarity with enterprise data stacks, cloud platforms, and data privacy is preferred, as is experience in project management tools and methodologies.
The Implementation Engagement Manager – Enterprise will own the full enterprise implementation lifecycle from kickoff through completion, managing scope, timeline, stakeholders, and success metrics; build and maintain detailed project plans, proactively drive execution, and coordinate across internal and customer teams to deliver against key milestones; act as the primary point of contact for customer stakeholders during implementation, ensuring clear communication and alignment at every stage; partner with Solution Architects, who manage technical execution, while owning overall engagement and delivery strategy; proactively manage risks, dependencies, and issues—ensuring timely escalation and resolution; regularly report on progress, blockers, and outcomes to both internal and external stakeholders; drive process improvement by refining templates, playbooks, and delivery models for scale; and manage the transition from implementation to sustained value and growth in collaboration with Customer Success Managers.
Data management solutions for developers and teams
Tonic.ai provides data management solutions aimed at software developers, data scientists, and quality assurance teams. Their platform enables users to de-identify, subset, and synthesize data, which helps protect sensitive information while still making it useful for testing and development. Tonic.ai operates on a subscription-based model, offering various service tiers to accommodate different organizational needs. This approach allows clients, ranging from small startups to large enterprises, to automate data pipelines and generate realistic demo data, ultimately saving time and reducing bugs in software development. Tonic.ai stands out from competitors by seamlessly integrating with both SQL and NoSQL databases, making it a versatile choice for data-driven organizations. The company's goal is to enhance data privacy and streamline data management processes to accelerate software development cycles.