Lead Network Data Strategist

Lead Network Data Strategist

Job Category

Sales

Requisition Number

LEADN001612

Posting Details

Posted

July 17, 2026

Full-Time

Remote

LocationsShowing 1 location

Remote

United States

Pay or shift range

$140,000 USD to $160,000 USD

The estimated range is the budgeted amount for this position. Final offers are based on various factors, including skill set, experience, location, qualifications and other job-related reasons.

Job Details

Description

Position Title

Lead Network Data Strategist

Department

Vendor Network

Reports To

Chief Network Officer

Location

US Remote

Overview

The Lead Network Data Strategist is a critical leadership role responsible for owning and driving the data strategy for the network organization, a key revenue-generating function of the business. This role partners closely with the Chief Network Officer and cross-functional teams to define and execute data-driven strategies that increase adoption, optimize performance, and support the successful rollout of new products such as Express One.

The ideal candidate combines strong technical expertise with strategic thinking and exceptional communication skills, enabling them to translate complex data concepts into actionable insights for stakeholders at all levels of the organization. This role requires balancing high-level business strategy with deep technical execution while ensuring data solutions are practical, usable, and impactful.

Key Responsibilities

Own and lead the overall data strategy for the network team, ensuring alignment with business growth and revenue objectives

Partner with the Chief Network Officer to define, evolve, and execute the network data roadmap

Translate high-level business questions into meaningful data strategies, dashboards, and reporting solutions

Support network operations, enrollment, and optimization teams with actionable insights to drive adoption and revenue growth

Serve as the subject matter expert for network data, advising product, technology, finance, and carrier-facing teams

Build and oversee dashboards and reporting with a focus on usability and adoption by business stakeholders

Perform root cause analysis on enrollment-related escalations and identify corrective actions

Collaborate with finance to define, track, and report on key performance indicators (KPIs)

Monitor trends in virtual card and vendor-paid adoption, identifying risks and opportunities

Maintain sensitivity lists for vendor outreach and communications

Play a key role in driving adoption of new products (e.g., Express One), including defining success metrics

Lead and manage two direct reports, providing coaching, prioritization, and professional development

Oversee network-related AI and advanced analytics initiatives, including LLM-based projects

Build and optimize data pipelines using Microsoft Fabric and other modern data tools

Work across multiple initiatives simultaneously, quickly switching contexts and engaging with stakeholders as needed

Bridge the gap between business and data by translating ambiguous requests into clear, actionable deliverables

Skills

Proven ability to translate complex business challenges into data-driven strategies and actionable insights

Strong technical expertise in

SQL (T-SQL, Microsoft SQL Server, MySQL)

Power BI or similar business intelligence platforms

Python and PySpark for data analysis and manipulation

Excel for advanced data analysis

Experience building and maintaining data pipelines (Microsoft Fabric preferred)

Familiarity with dbt (nice to have)

Experience using AI-native code editors (e.g., Cursor, Windsurf, GitHub Copilot)

Strong data modeling and dashboard development capabilities, with emphasis on usability over complexity

Data science and/or statistical analysis background

Experience working with AI/ML initiatives, including exposure to large language models (LLMs)

Exceptional communication skills, with the ability to translate technical concepts to non-technical audiences

Ability to influence cross-functional stakeholders across product, technology, finance, and operations

Strong prioritization and organizational skills, with the ability to manage multiple high-impact initiatives

Ability to operate both at a strategic (30,000-foot) level and in deep technical detail

Strong problem-solving and analytical skills, including root cause analysis

Demonstrated leadership experience, including managing and developing team members

Experience in payments, insurance, or network-driven business models preferred

Strong customer mindset, ensuring data solutions are practical, adopted, and impactful

Education

Bachelor’s degree in Data Science, Computer Science, Analytics, Finance, or a related field

Advanced degree (MBA, Master’s in Analytics, Data Science, or similar) preferred

Desired Traits

Action Oriented, Growth Mindset, Positive Outlook, Problem Solver, Self-starter, Demonstrates Ethical Behavior, Strong Drive, Team Player, Supportive & Adaptable to Change, Exudes a commitment to Personal & Professional Development

Physical Demands

The conditions herein are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential job functions.