Manager, Data Engineering

JOB SUMMARY:

We are seeking an experienced Manager, Data Engineering, to lead the development and utilization of data systems. In this role, you will be responsible for identifying efficient methods to organize, store, and analyze data while maintaining strict security and confidentiality measures. An exceptional Manager, Data Engineering comprehends the intricacies of data management and possesses a deep understanding of databases and data analysis procedures. You should also possess strong technical acumen and exceptional troubleshooting abilities. Your primary objective will be to ensure the seamless and secure flow of information within and outside the organization, guaranteeing timely access and delivery of data. By implementing effective data management practices, you will contribute to the overall success of our organization.

ESSENTIAL DUTIES & RESPONSIBILITIES:

This job description represents only the primary areas of responsibility; specific position assignments will vary depending on the needs of the department.

To perform the job successfully, an individual must be able to execute each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Essential duties and responsibilities should be listed in the order of importance/majority of time spent.

• Designing, developing, and modifying data infrastructure to accelerate the processes of data analysis and reporting.
• Reviewing presentations, manuscripts, graphs, and tables to ensure accuracy and quality.
• Developing standards of operation when handling and archiving data.
• Maintaining data management plans and instructions for operating complex business systems.
• Overseeing the integration of new technologies and initiatives into data standards and structures.
• Evaluating the design, selection, and implementation of database changes by comparing them with business requirements and design documents.
• Assessing system performance and making recommendations for hardware, software, and data storage improvements and Cloud Solutions (Azure, AWS etc.).
• Worked with third party vendors to implement Cloud, ETL, Data Warehouse, and DB design along with implementing BI and Data solutions as per industry best practices.
• Ensuring data and information security by integrating and upholding digital security systems.
• Research and properly evaluate sources of information to determine possible limitations in reliability or usability.
• Compare and analyze provided statistical information to identify patterns, relationships, and problems.
• Define and utilize statistical methods to solve industry-specific problems in the manufacturing field.
• Prepare detailed reports for management and other departments by analyzing and interpreting data.
• Provides data architecture support and expertise to all major enterprise projects.
• Creates value by unlocking and sharing data and information in ways which will spur innovation.
• Cascades from data strategy into data governance to promote data access, quality, and analytical capability.
• Implement and maintain Row Level Security (RLS) and monitor overall report access and protect data security.
• Develops and maintains controls on data quality, interoperability, and sources to effectively manage risk associated with the use of data and analytics.
• Works with business and IT leaders to identify areas of technical needs for future data science capabilities.
• Audits security precautions to ensure adequate protection is in place.
• Supports the formal authorization for data access.
• Implements principles, policies, standards, and guidelines for data management.

EDUCATION AND EXPERIENCE:

• Bachelor's degree in computer science, computer engineering, or related field.
• 1-3 years supervisory experience.
• A minimum of 5 years' experience in data management or analysis.
• 3+ years in solutions, data architecture design with experience in Azure Cloud Services.
• 3+ years of experience with ERP systems.
• 3+ years of experience in data management, data architecture, BI design, and architecture.
• 5+ years of experience in different BI tools (Power BI, Cognos, Tableau, AWS QuickSight, etc.)
• Strong math and analytical skills are essential to complete job requirements successfully.
• Ability to decipher and organize large amounts of data.
• An analytical mindset with superb communication and problem-solving skills.
• Ability to translate complex problems clearly and in nontechnical terms.
• Advanced analytical skills and knowledge of data integration and data modeling tools.
• Extensive experience with statistical modeling techniques, strong quantitative skills, and an ability to delegate tasks with ease.
• Experience with MS Office, SQL databases, Perl, Python, and other related applications
• Background in manufacturing & engineering is preferred.
• Strong problem resolution, negotiation, and influencing skills.
• Thorough understanding of project management and SDLC methodologies.
• Ability to determine long term directions, industry trends, and how they relate to the organizational needs.
• Ability to complete milestones and work toward multiple deadlines simultaneously.
• Excellent multitasking skills and task management strategies
• Experience in working and managing offshore onsite module and handling offshore teams

LICENSING/CERTIFICATIONS:

• Microsoft Certified: Azure Data Engineer Associate (Preferred)

COMPETENCIES

KNOWLEDGE:

• Knowledge of Agile software development systems.
• Mathematics-Knowledge of arithmetic, algebra, geometry, calculus, statistics, and their applications.
• English Language-Knowledge of the structure and content of the English language including the meaning and spelling of words, rules of composition and grammar.

COMPETENCIES

SKILL IN:

• Exercising confidentiality, discretion, and sound judgment.
• Active Listening - Giving full attention to what other people are saying, taking time to understand the points being made, asking questions as appropriate, and not interrupting at inappropriate times.
• Critical Thinking - Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems.
• Reading Comprehension - Understanding written sentences and paragraphs in work related documents.
• Relationship building and effective interpersonal interactions. Demonstrating cultural sensitivity to the needs of culturally diverse colleagues.
• Judgment and Decision Making-Considering the relative costs and benefits of potential actions to choose the most appropriate one.
• Management of Personnel Resources-Leading, motivating, developing, and directing people as they work, identifying the best people for the job.
• Well-developed ability to multi-task and prioritize with strong attention to details.

ABILITIES IN:

• Information Ordering - The ability to arrange things or actions in a certain order or pattern according to a specific rule or set of rules (e.g., patterns of numbers, letters, words, pictures, mathematical operations).
• Oral Comprehension - The ability to listen to and understand information and ideas presented through spoken words and sentences.
• Written Comprehension - The ability to read and understand information and ideas presented in writing.
• Deductive Reasoning - The ability to apply general rules to specific problems to produce answers that make sense.
• Inductive Reasoning - The ability to combine pieces of information to form general rules or conclusions (includes finding a relationship among seemingly unrelated events).
• Communication, interpersonal skills as applied to interaction with colleagues, supervisor, and clients, etc. sufficient to exchange or convey information and to receive work direction.
• Mathematical Reasoning-The ability to choose the right mathematical methods or formulas to solve a problem.
• Number Facility-The ability to add, subtract, multiply or divide quickly and correctly.
• Organization and prioritization-The ability to prioritize and organize workload with strong attention to details.

ADA REQUIREMENTS (For U.S. positions only):

Positions in this function typically require typing, sitting, climbing, balancing, stooping, kneeling, crouching, crawling, reaching, standing, walking, pushing, pulling, lifting, fingering, grasping, feeling, talking, hearing, seeing and repetitive motions.

• Concentrated mental and/or visual attention. The work involves performing complex tasks to very close accuracy and quality specifications, or a high degree of hand and eye coordination for sustained periods.
• The job is typically performed under comfortable working conditions; any disagreeable elements are generally absent during normal performance of job. Visits to our manufacturing facility and suppliers' facilities is required to monitor active projects and address design issues.
• Compliance with company attendance standards.

Sedentary Work: Exerting up to 10 pounds of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects, including the human body. Sedentary work involves sitting most of the time. Jobs are sedentary if walking and standing are required only occasionally, and all other sedentary criteria are met.

TRAVEL REQUIREMENTS:

Occasional travel may be required, as necessary; must have the ability to travel across borders.

NOTE:

The above job description is intended to represent only the primary areas of responsibility; specific position assignments will vary depending on the business needs of the department.

JOB DESCRIPTION HISTORY INFORMATION:

Prepared by Mark Sepulvador; reviewed by H. Armstrong

Date: 2024.01.01