
Engagement Manager
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in United States.
• Take ownership of the commercial viability of Databricks data and AI projects from hand-off to conclusion.
• Oversee budget, margin, and forecasts in collaboration with project management, making commercial decisions when projects deviate from the plan.
• Act as a trusted advisor to client executives and sponsors.
• Lead steering committees and ensure alignment among stakeholders regarding goals and priorities.
• Manage changes to project scope, budget, and timeline.
• Develop and finalize change requests in collaboration with technical leadership, Sales, and clients.
• Collaborate with Sales and Solutions Architects to define success criteria and transition projects into the delivery phase.
• Work with technical leaders to convert client business objectives into data and AI solutions.
• Define, monitor, and report on business outcomes.
• Facilitate project close-out with a clear handover and measurable outcomes.
• Identify new use cases and opportunities for follow-on projects.
• Collaborate with the Client Principal and Sales to enhance client relationships.
• A minimum of 6 years in client-facing consulting or professional services.
• At least 3 years of experience leading projects as an engagement manager, delivery lead, or senior manager.
• Proven experience managing projects valued between $250K and $2M.
• Expertise in managing project financials, including margin, burn rate, forecasts, and change orders.
• Strong skills in executive stakeholder management, including facilitating steering committees with VP and C-level sponsors.
• Knowledge of the data and AI domain through practical experience, with proficiency in lakehouse, data engineering, governance, and BI.
• A history of converting delivered work into additional business opportunities.
• Ability to work collaboratively with a Project Manager and step into the PM role when necessary.
• Excellent written and verbal communication skills tailored for both technical and business audiences.
• A Bachelor’s degree in Business, Information Technology, Engineering, or a related field is preferred.
• Must be based in the US.
• Willingness to travel up to 25% to client sites.
• Performance-based cash incentive awards.
• Opportunities for professional development.
• Career advancement prospects.
• A collaborative culture with knowledge sharing.
• Exposure to cutting-edge data engineering and AI technologies.
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