Business Director, Card Technology Analytics

Capital One•McLean, VA

4d•$209,500 - $263,000

About The Position

As a Director of Business Analysis at Capital One, you will apply your strategic and analytical skills to major company challenges. In this role you will lead Card Technology Analytics, a premier analytical organization tasked with measuring, optimizing, and unleashing the execution power of ~900 teams across Card Tech+. This organization acts as the analytical engine behind our goal to ‘Transform How We Build Software’ at Capital One, delivering the data insights necessary to guide and accelerate strategic engineering outcomes. The core mission of Card Tech Analytics is to chart the path to automate everything but the creative problem solving in developing software by leveraging initiative analysis, overall delivery analysis, and data foundations. This work directly drives our ultimate vision: to realize an engineering landscape of total operational transparency, where deep data insights unlock developer productivity and elevate the quality of our services. To achieve this, you will orchestrate the team's long-term and short-term strategy, transforming raw developer infrastructure telemetry into actionable intelligence. A primary output of this organization includes business cases for new tools, monitoring emerging patterns and new tool effectiveness, senior executive insights and strategic reporting. These deliverables provide comprehensive transparency into developer productivity and experience metrics across the Card Tech+ organization.

Requirements

Bachelor’s Degree
At least 4 years of experience performing quantitative analysis
At least 4 years of experience performing qualitative analysis
At least 2 years of experience performing people management
At least 2 years of experience performing project management

Nice To Haves

Master’s Degree
4+ years of experience leading technology performance analytics, specifically managing infrastructure data teams
2+ years of Developer Operations or Business Operations in a technical environment
2+ years managing an enterprise tool, process, or program

Responsibilities

Serve as a trusted advisor to Card Tech (CT+) leaders and stakeholders.
Formulate and execute a holistic analytical roadmap that spans initiative-level (micro) assessments, systemic delivery (macro) analysis, and cloud-native data foundations to instrument the engineering pipeline end-to-end.
Own the governance, production, and synthesis of executive data insights and reports to deliver clear visibility into the "Metrics that Matter" across core developer productivity and experience metrics. This includes driving the measurement strategy for Continuous Deployment (CD) adoption by benchmarking delivery speed, deployment frequency, and pipeline quality targets.
Establish data-driven frameworks to quantify the active utilization, multi-tooling behaviors, and efficiency impacts of AI developer tools. Lead efforts to measure resulting capacity and throughput gains through the lens of developer productivity and experience metrics.
Oversee the evaluation of structural delivery health indicators. Track and calibrate a balanced suite of developer productivity and experience metrics across engineering portfolios to optimize planning accuracy, manage unplanned work, and accelerate story cycle times.
Architect precise resource capacity views that delineate technical allocation across non-discretionary and discretionary initiatives. Map team capacities across major business segments (including Auths, Payments, Core Mod, Core TSYS, and Discover) to optimize strategic investment choices.
Champion the integrity of the data foundations layer. Act as a vocal, proactive customer to upstream infrastructure data producers, eliminate data gaps within Jira workflows, and cultivate a highly collaborative user and agilist community.
Direct, mentor, and inspire a cross-functional, high-performing organization composed of Business Analysts and Data Analysts. Foster an agile, inclusive, and outcome-oriented culture focused on continuous learning and high-impact skill growth.