Enterprise Data Product Manager
LingaTech
Enterprise Data Product Manager
We are seeking an Enterprise Data Product Manager to drive the data strategy and execution for a complex, multi-org Salesforce Public Sector Solutions implementation impacting multiple agencies. This role will own the end-to-end data workstream, from strategy definition through execution, guiding multiple implementation vendors while serving as a senior technical voice on data-related decisions.
Job Duties
- Refine and own the enterprise data strategy for the program, spanning data migration, integration architecture, data quality, and governance.
- Design and optimize data architectures, pipelines, and storage solutions to support data integration, quality, and scalability.
- Establish data patterns and standards that can be applied consistently across agencies and vendor teams.
- Identify and resolve data dependencies across systems, agencies, and implementation phases.
- Translate and advocate for program-specific data requirements with agency and IT leadership.
- Champion innovation by identifying and integrating emerging technologies and best practices into platform solutions and services.
- Direct the design, development, and execution of repeatable migration patterns (extract, transform, load); establish cutover strategies; and ensure traceability.
- Direct the design, development, and execution of repeatable integration patterns (batch, event-driven, API, middleware, etc.).
- Support the development of an enterprise data model and define the process for data model governance for agency-specific data model needs.
- Evaluate and approve data migration plans for alignment with enterprise objectives and technical soundness, and develop a data migration roadmap.
- Oversee and hold vendor teams accountable for data execution, including platform-level standardization and agency-level implementation.
- Review vendor plans and deliverables for quality and alignment to established standards; identify and assist with resolving risks, issues, or dependencies.
- Provide technical direction and course correction when needed, serving as the escalation point for data-related issues across vendor workstreams.
- Ensure compliance with data governance policies and standards to ensure reliability, security, and accessibility of data across all systems.
- Perform related duties as required.
Requirements
- Seven (7) years of professional experience in data management, data engineering, or enterprise data architecture with at least three (3) years in a lead or workstream owner capacity.
- Demonstrated experience leading data migration and integration efforts, ideally on Salesforce implementations.
- Strong hands-on proficiency with SQL.
- Experience with other data transformation tools and scripting (e.g., Python, Apex data loader, or ETL tooling such as MuleSoft, Informatica, Talend, or similar) is a plus.
- Understanding of web service protocols and data interchange formats (REST, SOAP, JSON, XML) and their application in enterprise integration patterns.
- Effective interpersonal skills and collaborative abilities to promote teamwork.
- Comfort with acquiring new skills and learning new technologies.
- Flexibility in a dynamic environment with shifting roles and responsibilities.
- Ability to build productive working relationships with cross-functional teams.
- Ability to foster a collaborative approach to solving technical challenges.
- Experience navigating government IT delivery constraints including procurement processes, compliance frameworks, data privacy requirements, and multi-tiered governance.
- Experience working in a multi-vendor delivery environment.
- Experience with data governance frameworks and enterprise master data management (MDM).
- Familiarity with AWS services such as API Gateway, Lambda, Step Functions, EventBridge, Glue, Athena, etc., as they relate to Salesforce integration patterns and other data services.
- Salesforce certifications (Administrator, Data Architecture and Management Designer).
$100.71k - $157.63k
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