Senior Delivery Manager, Data & Models - Mission Lane

Mission Lane is combining the power of data, technology, and exceptional service to pave a clear way forward for millions of people on the path to financial success. By attracting top talent and leveraging cutting-edge technology, we’re enabling people to unlock real financial progress. Sound like a mission you can get behind?

We’re looking for a Senior Delivery Manager, Data & Models to own delivery across Mission Lane’s data and modeling work, from intake through deployment and ongoing maintenance, reporting to the Senior Director, Portfolio Prioritization & Delivery.

The Impact You'll Make

A customer opens the app and finds a credit line that has grown, a decision that came back quickly, or a next step explained in plain language. Behind each of those moments is data that is trusted and available, and often a model that has been built, validated, and approved to use it.

The Senior Delivery Manager, Data & Models shapes how that work gets planned, sequenced, and delivered. Data platforms, pipelines, and products feed nearly everything we do, and models are one of the highest-stakes things built on top of them. Every initiative crosses data engineering, data science, credit, risk, and compliance, and each group works to its own rhythm and its own standards. Your puzzle is sequencing that work so the right things ship in the right order, with governance built in rather than bolted on, keeping speed and rigor in balance.

Mission Lane is standing up a dedicated delivery team, and you will set the standard for how data and model work gets delivered. The teams you work with will run on a delivery approach you build and shape.

What You'll Own

• The delivery roadmap for data and model initiatives across all business verticals, including milestones, dependencies, and sequencing, built with the portfolio prioritization team.
• A single, current view of every data and model initiative in flight, with status, risks, and next steps shared with leaders and partner teams on a regular cadence.
• Coordination across data engineering, data science, credit, risk, and compliance, with dependencies and unknowns surfaced early and cross-team problems driven to a solution.
• The delivery playbook for model development, validation, deployment, credit policy updates, and related approval flows, with clear handoff ownership at every stage.
• Model governance readiness, so models arrive at review complete and approvals don’t become a surprise bottleneck.
• Delivery practices for data work such as pipeline and platform changes, data product releases, and data quality remediation, with the same clarity on ownership and handoffs.
• Operational point of contact responsibilities for 2nd line credit and model risk management bank oversight.
• Continuous improvement of how we plan and deliver, using delivery data and retrospectives to reduce coordination overhead and rework.
• Informal guidance for less experienced delivery colleagues as delivery practice takes shape.

You'll Thrive in This Role If

• You see delivery risk early. You notice the missing data dependency, the skipped validation step, or the sequencing conflict, trace it to its source, and bring a recommendation to the table.
• You are at home in data-heavy work and understand how data quality, lineage, and availability shape what can ship and when. You know how models are built, validated, governed, and deployed well enough to plan around the work and discuss it credibly with the data scientists, credit partners, and model risk reviewers who do it every day.
• You lead across teams you don’t manage. You build trust early, bring teams to a plan everyone understands, and explain the “why” behind new ways of working so teams adopt them and keep using them.
• You make sound sequencing and priority calls as the picture develops.
• You communicate with precision: clear plans, clear status, clear escalation, and no ambiguity about who owns what or what happens next.
• You share what you know, guiding colleagues through coaching and example.

Minimum Qualifications

• 5+ years of experience in program or project delivery, ideally in financial services, fintech, or a data-heavy environment.
• Track record of leading multiple concurrent initiatives spanning three or more cross-functional teams, including technical teams.
• Working knowledge of the data and model development lifecycle (data engineering, development, validation, deployment, monitoring), enough to plan work and manage dependencies with technical teams.
• Experience working within model governance, model risk management, or other formal review and approval processes in a regulated environment.
• Experience building delivery structure, processes, or standards (intake, documentation, status reporting, handoffs) that teams adopted and sustained.
• Clear, direct written and verbal communication, with ownership, status, and next steps unambiguous.
• Experience calibrating escalation to senior leaders, knowing what to raise and what to resolve directly.
• Experience informally guiding or coaching colleagues without formal management authority.
• Ability to travel ~4+ times per year for in-person collaboration.

Preferred Qualifications

• Direct experience with 2nd line oversight or bank regulator expectations for model risk management (e.g., SR 11-7), such as preparing for model validation or regulatory exams.
• Experience delivering data platform, pipeline, or analytics initiatives alongside credit risk or other financial models.
• Experience standing up a new function or process where no established approach existed.