Manager, Enterprise Data Integration & Insights

Job Summary:

We are seeking a dynamic results-oriented Manager for Enterprise Data Integration & Insights to lead the design, development, and delivery of robust data and integration solutions in support of our digital transformation journey. You will lead cross-functional engineering & development teams (onshore/offshore/nearshore) and partner closely with software delivery teams, enterprise architects, cybersecurity specialists, infrastructure engineers, and business stakeholders across the enterprise. Your leadership will ensure our data platforms, integration, insights and analytics capabilities are agile, secure, reliable, and scalable, delivering robust data pipelines, powering real-time analytics, insights and data-driven decision-making across the enterprise.

• Lead, mentor, and grow high-performing data, integration, and analytics engineering teams in the delivery of data focused solutions.
• Manage work intake, resource planning, and backlog prioritization for agile delivery teams.
• Lead recruiting and onboarding efforts for new employees, including responsibility for the hiring process from identifying the need to hire through onboarding. Will conduct interviews and select candidates in collaboration with management.
• Work closely with employees to understand their career aspirations, strengths, and areas for development, working with peers to gather 360-degree feedback and insights for continuous improvement as part of the overall performance management program.
• Drive accountability through clear goals, performance management, process focused and delivery excellence.
• Champion a culture of innovation, quality, reliability, and continuous improvement.
• Champion the established “TRUCKS” cultural principles throughout the organization: Our IT organization is grounded in a shared commitment to core principles that shape how we work and deliver value. We uphold transparency by communicating openly, fostering trust, and ensuring visibility into decisions and progress. We design for resiliency, creating systems and processes that are dependable, adaptable, and able to recover quickly from setbacks. We prioritize understanding—of our business goals, our users, and the technologies we steward—to ensure alignment and relevance. We pursue continuous learning, staying curious and open to growth in a rapidly evolving landscape. We promote knowledge sharing to strengthen collective expertise and collaboration across teams. And we seek simplicity in our solutions, reducing complexity to make our work more maintainable, efficient, and user-friendly.
• Oversee the development and implementation of scalable data pipelines, event-driven interfaces and API-based integrations.
• Ensure delivery aligns with architectural principles, security guidelines, engineering standards, and CI/CD best practices.
• Manage the teams gathering data requirements and developing analytical solutions to support data driven decision making.
• Ensure that monitoring, alerting, observability, and logging are implemented to ensure operational reliability and visibility.
• Guide test-driven development, automation, and agile delivery methodologies.
• Collaborate across business units, delivery teams, and technical stakeholders to understand priorities, clarify requirements, align schedules, perform resource planning and translate needs into actionable delivery plans.
• Partner with cybersecurity, cloud infrastructure, and DevOps teams to ensure compliance, resilience, and secure data operations.
• Ensure that monitoring, alerting, observability, and logging are implemented to ensure operational reliability and visibility.
• Guide test-driven development, automation, and agile delivery methodologies.
• Partner with cybersecurity, cloud infrastructure, and DevOps teams to ensure compliance, resilience, and secure data operations.
• Collaborate with data, integration, cloud, and enterprise architects to execute and implement cohesive data management and integration solutions.
• Support the development and governance of data products, data catalogs, and analytics ecosystems.
• Work with Insights teams to support the creation of actionable insights from the collection, preparation, analysis, visualization, and management of large and unstructured data sets
• Promote domain-driven data approaches and modular service development for flexibility and scale.
• Regular attendance is required.
• This is not an all-inclusive list of job requirements and/or duties and may not contain all mental and physical capabilities necessary to perform the job at all times due to circumstances. Operational, safety and other needs may require the employee to perform any and all other duties as assigned. Employees are expected, and must be able to perform all such duties and tasks.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, preferred or comparable experience in a related field.
• 5+ years of experience in integration, data engineering, or software development required.
• 3+ years in a leadership or managerial role, leading or managing technical delivery teams required.
• Ability to lead across distributed teams and multiple time zones.
• Experience working within Agile and DevOps environments highly preferred.
• Demonstrated experience summarizing technical efforts and how they align to business outcomes required.
• Ability to communicate ideas in both technical and user-friendly language.
• Strong organizational and analytical skills with attention to details.
• Ability to thrive in a highly collaborative, fast-paced environment.
• Proven knowledge of solutions using Cloud Platforms (cloud native, SaaS, or PaaS), Integration Technologies (streaming/event-driven, ETL, or API-based), and CI/CD & DevOps tools & concepts (including infrastructure as code) preferred.
• Proven knowledge of data structures and technologies including Databases (Relational, Graph, or NoSQL), Data Virtualization (data fabric or data mesh tools), Data analysis, predictive analytics, data science and reporting tools and technologies preferred.
• Previous experience with System or Software Development preferred.
• Excellent communication skills including listening, verbal, and written;
• Strong emphasis on reliability, reusability, maintainability, and software quality.
• Thought leadership mindset with the ability to drive organizational change and innovation.
• Solid understanding of data modeling, data governance, and data security best practices.
• Ability to prioritize many competing tasks and deal effectively with conflict.
• Ability to mentor and guide less experienced team members in an approachable and positive way.
• Must be able to comply with all company policies, rules, procedures and Code of Conduct
• Must be able to interact well with others
• Must be able to work independently, or in a team setting
• Must be capable of working under tight time constraints in a high volume environment with multiple priorities
• Responds well to questions; Ability to read, interpret and comply with written information and documents such as safety rules, operations / procedure manuals and maintenance instructions with a high comprehension and concentration level to include the ability to meet deadlines
• Must pass a pre-employment drug screen, random drug and/or alcohol tests, and will be subject to a criminal history background check
• Must be authorized to work in the United States

Physical Demands:
The physical demands described here 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 functions. While performing the duties of this job, the employee is regularly required to talk or hear. Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and ability to adjust focus. The employee is frequently required to sit and use hands to finger, handle, or feel or operate computers and other standard office equipment. The employee is occasionally required to stand, walk, lift, twist, turn and reach with hands and arms. The employee must be capable of lifting a minimum of 20 lbs., or more if required by the essential functions of the job.

Work Environment:
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment ranges from quiet to loud as required by the essential functions of the job.