We are seeking an experienced and strategic Data Engineering Manager focused on Analytics Engagements to join our team at Sparta Systems. In this pivotal role, you will lead the delivery and support of analytics solutions across various business functions, ensuring high-quality data management practices and driving significant business value by aligning technical capabilities with strategic business needs.

Roles and Responsibilities:

Provide business domain leadership, offering functional expertise in areas like Commercial, Finance, Supply Chain, and Customer Experience.
Identify strategic analytics opportunities and cultivate executive relationships.
Lead the development, delivery, and support for the Enterprise Data Warehouse, Analytics, DataOps, Data/AI Applications, and data pipelines.
Manage and mentor technical contract service workers, establishing standards, innovative approaches, and best practices.
Oversee metadata catalogs and report enhancement initiatives while establishing robust data quality standards.
Lead efforts in observability and lineage tracking to maintain high integrity in AI/ML datasets.
Identify whitespace opportunities for analytics and data engineering, manage idea backlogs, and drive strategic initiatives that deliver measurable business value.
Lead business committees, manage expectations, and establish strong partnerships between technical teams and business functions.
Optimize analytics asset inventory and streamline requirements gathering processes to ensure high-quality, business-aligned deliverables.
Establish frameworks for vendor management and technical escalation procedures with clear accountability.

Skills Requirement:

Advanced knowledge of modern data engineering tools and practices.
Intermediate-level proficiency in languages such as SQL, Python, and Spark.
Strong business process and domain knowledge across multiple functions, with the ability to translate business requirements into analytics solutions.
Prior experience with enterprise-scale platforms, including Snowflake or similar Data Warehouses, Databricks or similar AI/ML Platforms, and Informatica Intelligent Cloud Services, HVR, Fivetran, or similar Data Ingestion and Transformation Tools.
Experience and domain knowledge of enterprise systems of record such as SAP, Salesforce CRM, and eCommerce Systems, along with associated end-to-end processes.
Strong background in enterprise analytics with a focus on measurable business outcomes.
Proficient in converting complex business insights into relevant data products, while maintaining effective relationships with business partners.
Experience implementing quality assurance and user acceptance testing processes for analytics deliverables.
Strong experience in requirements gathering, project prioritization, and managing competing business demands.
Exceptional presentation and communication skills with the ability to influence at all levels of the organization.
Demonstrated success in managing initiatives across organizational boundaries and building consensus.
Experience managing vendor relationships and service transitions.
Familiarity with IT Operations, ITIL practices, and other service management frameworks.

QUALIFICATION:

Bachelor's or Master's degree in Computer Science, Engineering, Applied Mathematics, or a related field.

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