Data Implementation Manager

Valon; United States; On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Health & well-being benefits

Free Food (Forkable in-office)

Commuter benefits

Learning & development opportunities

Flexible paid time off

11 company holidays

Equity stake

Job summary

Valon is seeking a Data Implementation Manager to coordinate and launch complex data workstreams during enterprise deployments. You will work across data, deployment strategy, engineering, and product teams, ensuring seamless communication with client stakeholders and driving successful delivery of critical initiatives.

Join a fintech-forward team and help elevate data governance, reporting, and controls within mortgage servicing as we scale our deployment motion.

Qualifications

• 5+ years as an Implementation Manager, Customer Success Manager, or PM in a fast-paced, complex software development environment.
• Experience deploying software/AI at large enterprises; long-term (6+ month) implementations a plus.
• Proven track record delivering large-scale, cross-functional technical programs.
• Strong understanding of the software development lifecycle (SDLC) and agile methodologies.
• Conceptual understanding of data concepts (schemas, databases) to converse with technical stakeholders at clients.
• Excellent communication and interpersonal skills with ability to influence diverse stakeholders.
• Thrives in a dynamic startup environment; fintech experience is a plus.

Responsibilities

• Lead end-to-end data migration on client engagements.
• Coordinate cross-functional teams across data, deployment strategy, engineering, and product.
• Identify and implement process improvements to drive deployment efficiency and scalability.
• Manage complex deployment workstreams and communicate status, risks, and dependencies.
• Identify risks and resolve technical, operational, and organizational blockers.
• Define and track success metrics for programs and provide data-driven insights.

Skills

Data migration leadership

Cross-functional coordination

SDLC understanding

Agile methodologies

Stakeholder management

Risk mitigation

Data concepts

Tools

SQL

ETL tools

Jira

Job description

About The Company

Valon is the leading AI platform for mortgage servicing, building the AI-native operating system for regulated finance. Before providing the system of record that powers the entire industry, we built and ran our own mortgage servicer on it. That gave us a real regulated environment to prove our technology could replace the mainframe systems servicers have used for decades. Carrington acquired that servicer and adopted ValonOS as its core platform, allowing us to focus entirely on scaling our SaaS platform. ValonOS is now on track to power 1 in 6 U.S. mortgages across major mortgage servicers like Newrez, Carrington, and ServiceMac. Every process on the platform is structured and programmable, enabling our AI agents to perform core servicing work, like handling payments, escrow, and homeowner questions, directly within the system's controls. We recently raised a $150 million Series D at a $2.3 billion valuation by new investor Ribbit Capital, with continued support from existing backer a16z, amongst others.

About The Role

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.

What You'll Do

• 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.

What You'll Bring

• 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.

Benefits

• 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.
• Health & well-being: we'll invest in your physical and mental well-being with comprehensive medical, dental, & vision benefits.
• Free Food: daily lunch, and dinner provided through Forkable for in-office team members.
• Commuter benefits: pre-tax deductions for public transit, rideshares, and parking to simplify your daily commute.
• Grow together: company wide orientation for you to successfully onboard and other learning & development opportunities including regular review cycles that feature 360-degree feedback.
• Play together: quarterly budgets for team and company outings. Use it for team swag, cooking classes, or team dinners.
• Generous time off: flexible paid time off with no annual limit, sick days, and 11 company holidays.
• Baby bonding time: 12 weeks of fully paid leave for both birthing and non-birthing parents, so you can spend uninterrupted time welcoming and caring for your newest family member.

Throughout the interview process, please remember that emails will only be from valon.com email addresses. We will never ask for any personally identifiable information during the interview process itself. Please reach out to [e-mail] if you have any requests to verify the authenticity of an outreach.

Valon is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. Valon makes hiring decisions based solely on qualifications, merit, and business needs at the time.