TechTorch
Delivery Manager, Data, US
United States · Senior · Contract
Sponsorship not specifiedDetected 153 days ago
SnowflakeRedshiftAWSAzureData EngineeringData VisualizationProject ManagementAgileJiraConfluenceCRMExcelCustomer SuccessLeadershipCommunicationProblem SolvingAdaptabilityMicrosoft Office
About the role
- You are the connective tissue between C-suite client stakeholders and multi-disciplinary delivery teams - setting the vision, managing complexity, and driving outcomes on high-stakes data transformation projects for PE-backed enterprises.
Responsibilities
- Own end-to-end delivery of data, BI, and AI projects - from discovery through go-live - for PE-backed enterprise clients.
- Manage multi-geography and multi-level data complexity, including consolidating data across business units, enterprise systems, and reporting hierarchies.
- Lead specialized data delivery workstreams (business intelligence, data warehouse builds, KPI frameworks, AI application readiness) with a focus on measurable business outcomes.
- Serve as primary day-to-day client relationship owner for data engagements, building trust with functional leaders and C-suite sponsors.
- Co-create solutions and implementation roadmaps with C-level executives, translating data capabilities into business value narratives.
- Communicate project status, design decisions, risks, and escalations on a weekly basis to executive stakeholders and board members.
- Lead and coordinate multidisciplinary delivery teams including data engineers, architects, BAs, and client-side resources across time zones.
- Mentor and develop Business Analysts on data projects, building capability across the team.
- Proven ability to lead, develop, and motivate delivery teams across diverse skills, backgrounds, and time zones.
Requirements
- 5-7 years of experience in delivery, program management, or technology consulting, with a meaningful portion spent at a top-tier firm (Accenture, Deloitte, McKinsey, BCG, Bain, PwC, or comparable).
- Proven track record leading complex, multi-workstream data, BI, or analytics transformation projects to successful delivery.
- Experience managing projects with multi-geography or multi-level data complexity across enterprise-scale clients.
- Familiarity with modern data platforms such as Snowflake, Azure Synapse, AWS Redshift, or Databricks.
- Proficiency in Excel and PowerPoint at an advanced level
- experience with JIRA, Confluence, and MS Project.
- You bring a structured consulting mindset to messy, ambiguous client environments - and you know how to get things done.
- Executive presence: the ability to command credibility with C-level stakeholders and translate technical complexity into business impact.
- Education
- Bachelor's degree in Business, Information Systems, Computer Science, Engineering, or a related field. Advanced degree preferred.
- Experience
- Demonstrated ability to own C-level client relationships and navigate PE-backed company environments.
- Prior exposure to Commercial Excellence (CRM, Quote-to-Cash) alongside data work is a significant advantage.
- Technical Proficiency
- Strong working knowledge of either backend data engineering (data modeling, ETL/ELT pipelines, data warehouse architecture) OR frontend BI delivery (Tableau, Power BI, KPI visualization, reporting governance) - ideally both.
- Solid understanding of data model fundamentals: conceptual and physical models, hierarchies, aggregation logic, and how poor data architecture affects downstream analytics and AI reliability.
Nice to have
- Advanced degree preferred.
- Bachelor's degree in Business, Information Systems, Computer Science, Engineering, or a related field.
Skills
- Leadership & Interpersonal Skills
Compensation
- Competitive base salary + performance bonuses
Benefits
- Health, dental, and vision insurance
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