Senior Data Engineering Manager – Customer Data & Analytics – Driving Insight‑Driven Customer Experience at brighthush

About brighthush

At brighthush, we believe that sport and outdoor adventure can transform lives. Since our humble beginnings as a small bait‑and‑tackle shop in Binghamton, NY, we have grown into a global omnichannel powerhouse with more than 850 stores and a vibrant digital presence. Our portfolio includes the flagship brighthush brand, as well as brighthush, brighthush, brighthush, and brighthush. We are committed to inspiring, supporting, and equipping athletes and outdoor enthusiasts to reach their full potential. Our mission is simple: create the best customer experience in the world of sport and recreation.

We are on a bold journey to evolve from the world’s leading sports retailer into the world’s leading sports company. This transformation hinges on data‑driven insights, cutting‑edge technology, and a culture that empowers every teammate to innovate. If you are passionate about turning data into action and want to shape the future of customer experience, brighthush invites you to join our dynamic team.

Job Purpose

As the Senior Data Engineering Manager for Customer Data, you will lead the design, development, and continuous improvement of our data platform that powers personalized customer experiences across all digital and physical touchpoints. You will be the bridge between business stakeholders, data scientists, and engineering teams, ensuring that the data ecosystem delivers reliable, high‑quality insights that drive revenue, retention, and brand loyalty.

Key Responsibilities

Data‑Driven Product & Service Enhancement

• Own the end‑to‑end lifecycle of data pipelines that feed customer segmentation, recommendation engines, and personalization campaigns.
• Collaborate with product managers to translate business questions into actionable data models and dashboards.
• Champion data quality initiatives, establishing metrics, monitoring, and remediation processes.

Digital Strategy & Transformation Leadership

• Lead cross‑functional digital transformation projects, applying agile and design‑thinking principles to deliver scalable solutions.
• Define and execute a roadmap that aligns data capabilities with the broader digital strategy of brighthush.
• Act as a change agent, ensuring smooth adoption of new data tools and practices across the organization.

Team Building & Talent Development

• Recruit, mentor, and retain a high‑performing data engineering team, fostering a culture of continuous learning and innovation.
• Design and deliver technical training programs that upskill engineers on modern cloud data platforms, streaming, and machine‑learning pipelines.
• Implement performance management processes that set clear objectives, provide constructive feedback, and recognize achievements.

Strategic Vision & Execution

• Translate market trends and customer insights into strategic initiatives that enhance the customer journey.
• Collaborate with senior leadership to prioritize data projects that deliver the greatest business impact.
• Advocate for data‑centric decision making across all levels of the organization.

Project & Portfolio Management

• Oversee a portfolio of data projects, ensuring on‑time delivery, budget compliance, and alignment with business goals.
• Facilitate regular status meetings, risk assessments, and stakeholder communications.
• Leverage project management tools and methodologies to streamline workflows and increase transparency.

Quality Assurance & Innovation

• Develop and maintain automated testing frameworks for data pipelines, ensuring data integrity and reliability.
• Drive continuous improvement initiatives that reduce data latency, increase throughput, and lower operational costs.
• Explore emerging technologies such as real‑time streaming, graph databases, and AI‑enhanced data orchestration.

Budgeting & Resource Planning

• Collaborate with finance to develop annual budgets for data engineering initiatives.
• Forecast resource needs, including staffing, tooling, and cloud spend, to support strategic priorities.
• Monitor spend against budget, identifying cost‑saving opportunities without compromising quality.

Information Security & Compliance

• Lead the detection, analysis, and remediation of data security incidents in accordance with brighthush’s incident response plan.
• Ensure compliance with data privacy regulations (GDPR, CCPA, etc.) across all data assets.
• Collaborate with security teams to implement encryption, access controls, and audit trails.

Behavioral Competencies

Customer Focus

Builds strong relationships with internal and external customers, ensuring that data solutions meet real‑world needs and drive customer satisfaction.

Strategic Mindset

Anticipates future opportunities and challenges, translating insights into breakthrough strategies that shape the organization’s direction.

Decision Quality

Makes timely, well‑informed decisions, balancing risk and opportunity while escalating issues when necessary.

Action Oriented

Approaches challenges with urgency and energy, taking decisive action to resolve problems and seize new opportunities.

Builds Effective Teams

Fosters a collaborative environment where diverse skills and perspectives converge to achieve shared goals.

Develops Talent

Mentors and coaches teammates, providing constructive feedback and career development pathways.

Instills Trust

Earns confidence through honesty, integrity, and transparency, creating a culture of trust and accountability.

Tech Savvy

Stays ahead of technology trends, experimenting with new tools and platforms to enhance performance and innovation.

Technical Skills & Expertise

• Deep experience in customer data, omni‑channel identity resolution, and data science models that activate personalization campaigns.
• Proven track record leading data engineering teams and delivering large‑scale data solutions.
• Hands‑on expertise with cloud data platforms such as Google BigQuery, Snowflake, and Databricks.
• Strong background in modeling complex data structures and designing scalable schemas.
• Experience managing onshore/offshore contractor teams and aligning them with core engineering objectives.
• Proficiency in data pipeline orchestration tools (Airflow, Prefect, Dagster) and CI/CD for data workflows.
• Knowledge of data governance, security, and compliance best practices.

Qualifications

Education

Master’s degree in Computer Science, Data Engineering, or a related field is preferred but not mandatory. Equivalent professional experience will be considered.

Experience

• 10+ years of progressive experience in data engineering, with at least 5 years in a leadership role.
• Demonstrated success in building and scaling data platforms that support high‑volume, real‑time analytics.
• Experience managing cross‑functional teams and delivering projects on time and within budget.
• Track record of implementing data quality frameworks and governance policies.

Managerial Skills

• Strong people‑management skills, including coaching, performance reviews, and career development.
• Excellent communication skills, capable of translating technical concepts to non‑technical stakeholders.
• Ability to influence and collaborate across multiple business units and senior leadership.

Career Growth & Learning Opportunities

At brighthush, we invest heavily in the professional growth of our teammates. As a senior leader, you will:

• Participate in executive‑level strategy sessions, shaping the future of customer experience.
• Lead initiatives that cross‑cut technology, product, and marketing, expanding your influence across the organization.
• Access to a robust learning platform, including certifications in cloud data services, data science, and leadership development.
• Mentorship from senior leaders and opportunities to present at internal conferences and industry events.

Work Environment & Culture

brighthush fosters a culture of inclusivity, curiosity, and relentless improvement. Our values include:

• Customer Obsession: Every decision is driven by the goal of delivering exceptional value to our customers.
• Innovation: We encourage experimentation and reward bold ideas that push the boundaries of what’s possible.
• Collaboration: Cross‑functional teamwork is at the heart of our success.
• Integrity: We act with honesty, transparency, and accountability in everything we do.
• Growth Mindset: Continuous learning and development are embedded in our DNA.

Compensation & Benefits

We offer a competitive total rewards package that includes:

• Base salary range: $95,200 – $158,800, commensurate with experience and location.
• Performance‑based incentives and potential equity participation.
• Comprehensive health, dental, and vision coverage.
• Retirement savings plan with company match.
• Generous paid time off, including vacation, sick leave, and holidays.
• Flexible work arrangements and remote‑friendly policies.
• Employee wellness programs, including gym memberships and mental health resources.
• Professional development budget and access to industry conferences.

Virtual Interview Guidelines

To maintain the integrity and security of our hiring process, we ask that all virtual interviews adhere to the following:

• Camera must be on throughout the interview.
• AI tools (e.g., ChatGPT) are not permitted during any part of the interview or assessment.
• All offers are contingent upon a satisfactory background check, which may include ID verification.

How to Apply

If you are ready to lead the data engineering function that powers the next generation of customer experiences at brighthush, we encourage you to apply today. Join us in creating a world where sport and adventure are accessible to everyone, and where data drives every decision.