Manager of Data Architecture

Sagent

1d•Remote

About The Position

As the Manager of Data Architecture at Sagent, you will lead a data team in designing and implementing robust data solutions. Your role will focus on managing others, applying operational and strategic management skills, and ensuring the effective utilization of data to meet business needs. Leveraging your expertise in data extraction, transformation, and loading techniques, you will create data collection frameworks and maintain infrastructure systems to drive business outcomes.

Requirements

Completion of a four-year college degree in a relevant discipline with 6-8 years of experience in a related field, or completion of an advanced degree (Masters or higher) in an applicable and relevant field with 5 years of related experience. Experience will be considered in lieu of a degree.
Demonstrated ability to achieve goals through the work of others and apply operational or strategic management skills.
Experience in managing performance appraisals, pay reviews, training, and development activities for team members.
Proficiency in data extraction, transformation, and loading techniques to connect large data sets from various sources.
Strong skills in creating data collection frameworks for structured and unstructured data.
Ability to define data standards, governance routines, and data quality monitoring controls to meet business needs.
Understanding of development management and project management frameworks and best practices.
Ability to define and refine project goals and tactics to achieve business objectives and mobilize resources effectively.

Responsibilities

Team Leadership and Management:
Lead and manage a data team providing guidance, direction, and support to achieve team goals and objectives.
Conduct performance appraisals, pay reviews, and training and development activities to enhance team performance and capabilities.
Strategic Data Architecture:
Define and execute the strategic direction of data architecture initiatives, aligning with business objectives and priorities.
Drive innovation in data practices and technologies to support business growth and scalability.
Customer Data Implementations:
Partner with implementation and client success teams to support onboarding of customer data into the platform, ensuring data is accurately mapped, validated, and available for downstream use.
Own the technical delivery of customer-facing data integrations, establishing repeatable patterns that scale across new clients and product configurations.
Data Governance and Standards:
Establish data standards, governance routines, and data quality monitoring controls to ensure data integrity and compliance with regulatory requirements.
Implement and enforce policies and procedures for data management and access.