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Data Manager

Overview

The Tyndale Company, an 8x Top Workplace winner in PA and certified woman-owned business, is seeking a strategic Data Manager to lead our data engineering, ETL, and business reporting efforts. This role will oversee a team of Database Architects, Developers, Automation Engineers, and Business Data Engineers to build and maintain scalable data infrastructure that powers decision-making across our e-commerce, ERP, accounting, and logistics operations.

 

The ideal candidate brings strong leadership, deep expertise in data architecture and ETL, and the ability to turn complex data into actionable insights across finance, operations, supply chain, and e-commerce.

 

HYBRID/REMOTE: Tyndale supports a strong work-life balance. This opportunity requires onsite work a minimum of 2 days per week, and 3 days per week remotely. To be considered, candidates must reside within a commutable distance from our corporate headquarters in Pipersville, PA (Bucks County).

Responsibilities

  • Design and manage scalable ETL workflows to integrate data across e-commerce, ERP, accounting, and logistics systems.
  • Optimize data pipelines for both real-time and batch processing to support operational and analytical needs.
  • Ensure data quality, consistency, and security through robust validation and governance practices.
  • Develop and maintain data models aligned with core business functions such as sales, inventory, finance, and supply chain.
  • Lead the development of BI and reporting solutions that deliver accurate, actionable insights to stakeholders.
  • Define and track KPIs that support performance measurement across sales, finance, inventory, and logistics.
  • Collaborate with business leaders to identify trends, uncover insights, and drive data-informed decisions.
  • Manage and mentor a cross-functional team of data professionals, fostering innovation and collaboration.
  • Partner with executive leadership to shape and execute data strategy in support of business growth.
  • Lead initiatives focused on data integration, automation, predictive analytics, and process improvement.

Qualifications

  • Minimum of 5 years of experience in data management, data engineering, or business intelligence leadership.
  • Proficiency in ETL design and optimization, particularly across e-commerce, ERP, accounting, and logistics systems.
  • Strong expertise in Microsoft SQL Server, including data architecture, modeling, and performance tuning.
  • Solid understanding of business processes across finance, supply chain, e-commerce, and operations.
  • Skilled in SQL and cloud-based data platforms; experience with Amazon QuickSight and Microsoft Power Platform (Power BI, Power Apps, Power Automate).
  • Bachelor’s degree in Data Science, Computer Science, Information Systems, or related field preferred.
  • Familiarity with scripting languages (e.g., Python, PowerShell), API integrations, and predictive analytics/AI-driven BI preferred.

 

Benefits

 

  • Health & Wellness: Comprehensive medical, dental, and vision insurance with competitive premiums. Paid parental leave. Mental health support through an EAP and partial reimbursement on copays, fertility support, and robust wellness programs with annual reimbursements.
  • Work-Life Balance: Many positions with Tyndale offer hybrid onsite + remote work schedules, generous PTO, paid holidays + a floating holiday, and more.
  • Financial Compensation: Competitive salary, 401(k) with matching, and bonus opportunities.
  • Career Growth & Development: Training/certification/tuition reimbursement programs and demonstrated paths for knowledge share and internal promotion opportunity.
  • Culture & Perks: Family-owned values, award winning culture, team-engagement events, casual dress code, company-sponsored charitable events and activities, and an inclusive workplace that values collaboration and integrity.

 

#LI-SP1

Average salary estimate

$115000 / YEARLY (est.)
min
max
$100000K
$130000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Manager, Tyndale

Join Tyndale Company as a Data Manager in Pipersville, where innovation meets a commitment to excellence! As an 8x Top Workplace winner in PA and a proud woman-owned business, Tyndale is excited to find a strategic leader ready to head up our data engineering, ETL, and business reporting initiatives. In this role, you will be surrounded by a talented team of Database Architects, Developers, Automation Engineers, and Business Data Engineers. Your mission? To build and maintain a robust data infrastructure that empowers our decision-making processes across e-commerce, ERP, accounting, and logistics operations. We're looking for someone with strong leadership qualities and deep expertise in data architecture to transform complex data into actionable insights for our various operations. You’ll enjoy a hybrid work model, with 2 days in the office and 3 days remote, promoting a perfect work-life balance. Here, your responsibilities will include designing and managing scalable ETL workflows, ensuring data quality, and collaborating with business leaders to uncover insights that drive data-informed decisions. If you’re ready to mentor a team and shape our data strategy to fuel business growth, we want to hear from you!

Frequently Asked Questions (FAQs) for Data Manager Role at Tyndale
What are the key responsibilities of a Data Manager at Tyndale Company?

As a Data Manager at Tyndale Company, you will oversee the design and management of scalable ETL workflows, ensure data quality and security, develop BI and reporting solutions, and collaborate with business leaders to identify trends and insights. You'll also mentor a cross-functional team and guide data strategy to support business growth.

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What qualifications are needed to become a Data Manager at Tyndale Company?

To qualify for the Data Manager position at Tyndale Company, you should have a minimum of 5 years of experience in data management or data engineering, proficiency in ETL design, and strong skills in Microsoft SQL Server. A bachelor's degree in Data Science or a related field is preferred, along with familiarity with scripting languages and cloud-based data platforms.

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Is remote work an option for the Data Manager position at Tyndale Company?

Yes, the Data Manager position at Tyndale Company offers a hybrid work model. You will be required to work on-site a minimum of 2 days per week, with the flexibility of working remotely for the other 3 days, allowing you to maintain a healthy work-life balance.

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What type of team will I manage as a Data Manager at Tyndale Company?

In your role as a Data Manager at Tyndale Company, you will manage a cross-functional team that includes Database Architects, Developers, Automation Engineers, and Business Data Engineers, providing mentorship and fostering innovation and collaboration within the team.

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What benefits does Tyndale Company offer for the Data Manager position?

Tyndale Company offers a comprehensive benefits package for the Data Manager role, including medical, dental, and vision insurance, paid parental leave, generous PTO and holidays, 401(k) matching, and opportunities for career growth and development through training and tuition reimbursement.

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Common Interview Questions for Data Manager
What experience do you have with ETL design and optimization?

Discuss your specific projects and experiences where you designed and optimized ETL workflows, emphasizing your role in improving data integration processes and efficiency.

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How do you ensure data quality and security in your projects?

Explain the validation and governance practices you implement to maintain data quality and security, sharing examples of how you've successfully managed these aspects in past roles.

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Can you describe a time when you uncovered significant insights from data analysis?

Share a specific case where your data analysis led to actionable insights, detailing the problem, your approach, and the results that benefited the organization.

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How do you approach managing a cross-functional team?

Discuss your leadership style and the methods you use to foster collaboration, innovation, and mentorship within a diverse team of data professionals.

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What tools and technologies are you proficient in as a Data Manager?

Highlight the specific tools and technologies you have experience with, such as Microsoft SQL Server, cloud platforms, and BI tools like Power BI, explaining how you've utilized them effectively.

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How do you stay updated with the latest trends in data management?

Talk about resources, courses, or communities you engage with to stay informed on industry trends, emphasizing your commitment to continuous learning.

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What metrics do you track to measure team performance?

Describe the key performance indicators (KPIs) you monitor to assess the effectiveness of your team and the impact of data initiatives on business outcomes.

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How would you handle a conflict within your team?

Explain your approach to conflict resolution, emphasizing the importance of open communication and finding common ground to maintain a positive team dynamic.

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What is your experience in translating business requirements into data solutions?

Provide an example of how you successfully gathered business requirements and translated them into effective data solutions, highlighting your ability to bridge the gap between technical and business needs.

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What is your long-term vision for data management in an organization like Tyndale?

Share your thoughts on the future of data management, discussing strategic initiatives you believe would contribute to Tyndale’s ongoing growth and success in leveraging data as a critical asset.

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Full-time, hybrid
DATE POSTED
March 27, 2025

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