Join Valon Labs as a Data Implementation Manager to lead data migration and optimize deployment processes in a remote-first environment.
Posted by employer 1 day ago
First seen on Joblaze 4 hours ago
Last verified on the company career page 4 hours ago
Skills & Technologies
What you'll build
Must have
Nice to have
AI in the day-to-day
Valon is building an AI-native operating system for mortgage servicing.
Requirements
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
The Data Implementation Manager at Valon Labs plays a crucial role in overseeing the migration of data during enterprise deployments, ensuring that all necessary reports and data assets are prepared for launch. This position requires a strong background in managing complex software implementation projects, with a focus on cross-functional collaboration among teams such as data, engineering, and product. Ideal candidates will have at least five years of experience in a fast-paced tech environment, particularly in roles that involve stakeholder management and problem-solving. Valon Labs, a rapidly growing fintech company, emphasizes the importance of data in transforming the mortgage servicing
Joblaze insights
Quick facts
From the original posting
Valon is rebuilding the mortgage servicing industry from the ground up. We're looking for a Data Implementation Manager to join our team and help us coordinate and launch complex data workstreams as part of our enterprise deployments that will revolutionize how mortgage servicers operate.
In this role, you'll be instrumental in coordinating efforts across multiple internal teams (data, deployment strategy, engineering, product) and numerous client stakeholders, ensuring seamless communication, and driving the successful delivery of our most critical initiatives.
Within Mortgage Servicing, data is the lifeblood of a company’s day to day operations. There are substantial reporting requirements and a strong business need for robust internal controls. Data is one of the primary drivers to the quality of overall servicing operations and operating efficiency.
Lead End-to-End Data Migration: Lead data workstreams on client engagements to ensure data is properly migrated and critical reports and data assets are ready for go-live.
Drive Cross-Functional Coordination: Facilitate effective communication and collaboration between data, deployment strategy, engineering, product, and other stakeholders to ensure alignment and shared understanding.
Optimize Deployment Processes: Proactively identify and implement process improvements to drive efficiency, predictability, and scalability as we grow our deployment motion.
Manage Complex Stakeholder Dynamics: Organize, structure, and drive complex deployment workstreams. Proactively communicate program status, risks, and dependencies to all relevant stakeholders, ensuring transparency and alignment.
Mitigate Risks and Resolve Issues: Identify potential roadblocks and actively work to resolve technical, operational, and organizational challenges that may impact program delivery.
Define and Track Metrics: Establish clear success metrics for programs and regularly track progress, providing data-driven insights to inform decision-making.
5+ years of experience as an Implementation Manager, Customer Success Manager, or PM in a fast-paced, complex software development environment.
Experience at companies deploying software, AI, or technology at large enterprises. Experience with long-term (6+ month) implementation or business transformation projects is a plus.
Proven track record of successfully delivering large-scale, cross-functional technical programs.
Strong understanding of the software development lifecycle (SDLC) and various agile methodologies.
Conceptual understanding of fundamental data concepts (schemas, databases) to be conversant with technical stakeholders at clients
Exceptional communication and interpersonal skills, with the ability to influence and align diverse stakeholders.
Excellent problem-solving abilities and a proactive approach to identifying and mitigating risks.
Ability to thrive in a dynamic, rapidly evolving startup environment.
Prior experience in a fintech team is a plus, but not required.
Compensation: competitive salary with a meaningful stake in the company via equity, and 401(k) plan. The base salary range reflects multiple levels. We assess level based on a combination of experience and interview performance.
Standard company text repeated across Valon Labs's postings is omitted here.