Dave · 7 hours ago
Lead Technical Program Manager - Data
United States
Full-time
Remote
Lead/Staff
12+ years expDave is one of the leading US neobanks, pioneering financial services with disruptive technology. They are seeking a Lead Technical Program Manager to deliver complex data projects and modernize their data platform, ensuring alignment between technical execution and business strategy.
FinanceBankingFinTechFinancial Services
Responsibilities
Lead strategic programs across the Data, AI, and Analytics domains, delivering high-impact initiatives in platform modernization, machine learning deployment, and data governance
Partner with Data Engineering, Data Science, and Analytics leadership to define and sequence the Data roadmap, aligning scope and priorities with company objectives while driving effective prioritization and trade-off decisions across features, tech debt, and platform initiatives in an inherently ambiguous, fast-evolving environment
Drive end-to-end delivery across multiple engineering squads, managing complex dependencies across data pipelines, modeling workflows, and analytics infrastructure — ensuring smooth delivery from ingestion to insight
Drive the operationalization of AI models into production in partnership with MLOps and engineering teams, balancing innovation with compliance and performance
Collaborate with Product and Business teams to ensure data and AI solutions drive measurable outcomes — from credit decisioning to fraud detection to customer engagement
Drive delivery across third-party vendors and financial partners, ensuring integrated solutions meet program milestones, quality standards, and business objectives while proactively managing risks to scope and timeline
Build strong partnerships across Security, Infrastructure, Compliance, Legal, Finance, and Risk to deliver efficient, resilient, and capital-effective solutions
Champion Agile and CI/CD practices, elevating execution quality through repeatable, scalable delivery processes
Act as a trusted advisor to senior leadership, providing clear, actionable communication on program health, risks, trade-offs, and dependencies
Mentor TPMs and cross-functional partners, fostering a culture of technical excellence, ownership, and trust
Qualification
Required
BS or MS in Computer Science, Data Science, or related technical field
12+ years of experience, including 7+ years driving large-scale initiatives in data engineering, AI/ML, or analytics
Proven experience coordinating teams across engineering, data science, and product to deliver end-to-end data and AI capabilities
Strong technical fluency across modern data stacks (e.g., Snowflake, BigQuery, Airflow, DBT, GCP, Databricks) and machine learning platforms
Deep understanding of data architecture, MLOps, and analytics pipelines — from ingestion and transformation through model deployment and monitoring
Experience overseeing third-party vendors, managing milestones, dependencies, and delivery across complex, multi-stakeholder programs
Hands-on experience building dashboards and analyzing complex data sets to drive program decisions, assess performance, and measure ROI
Skilled in using A/B testing and experimentation frameworks to evaluate hypotheses, interpret outcomes, and drive data-informed decisions across credit and banking initiatives
Track record of leading transformation initiatives, including process redesign, system migrations, or platform consolidation within the financial domain
Excellent communication and influence skills, with the ability to translate technical (e.g., model metrics, feature drift, data lineage), regulatory (e.g., data privacy), and operational complexity into clear recommendations for executives and stakeholders
Experience with change management, including building alignment and adoption across business, product, and engineering functions
Proven ability to influence without authority and motivate cross-functional teams to deliver successfully in fast-paced, dynamic environments
Analytical mindset with a bias for clarity, structure, and measurable impact
Preferred
Experience working in Fintech or regulated data environments
Familiarity with GCP's data tooling (e.g. Dataflow, CloudComposer, BigQuery, PubSub) or similar cloud tooling
Experience with event-driven architectures or real-time data pipelines
Experience with tools: Launch Darkly, FullStory, Amplitude
Certifications in Agile, SAFe, or Project Management
Benefits
Opportunity to tackle tough challenges, learn and grow from fellow top talent, and help millions of people reach their personal financial goals
Flexible hours and virtual first work culture with a home office stipend
Premium Medical, Dental, and Vision Insurance plans
Generous paid parental and caregiver leave
401(k) savings plan with matching contributions
Financial advisor and financial wellness support
Flexible PTO and generous company holidays, including Juneteenth and Winter Break
All-company in-person events once or twice a year and virtual events throughout to connect with your team members and leadership team
Company
Dave
Dave is a banking app that offers customers banking, financial insights, overdraft protection, and building credit products.
201-500 employees
H1B Sponsorship
Dave has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (2)
2022 (19)
2021 (11)
2020 (10)
Funding
Current Stage
Public CompanyTotal Funding
$646.3MKey Investors
FTX VenturesTiger Global ManagementVictory Park Capital
2026-01-19Undisclosed
2023-09-18Post Ipo Debt· $50M
2022-03-21Post Ipo Debt· $100M
Leadership Team
Jason Wilk
Founder and CEO
Joan Aristei
Chief Legal Officer
Recent News
Crowdfund Insider
2026-01-04
Company data provided by crunchbase