Data Ideology, LLC

Technical Product Manager

• Partner with business stakeholders, architects, and engineering teams to understand customer needs, business priorities, and technical constraints.
• Translate business requirements into actionable user stories, technical requirements, acceptance criteria, and delivery-ready backlog items.
• Own and manage the product backlog, ensuring prioritization of the highest-value initiatives aligned with business goals and technical dependencies.
• Participate in all phases of the product lifecycle, including discovery, roadmap planning, requirements gathering, development, testing, release, and adoption.
• Collaborate with engineering and technical teams to define scalable solution designs, integration requirements, API dependencies, data flows, and system impacts.
• Facilitate Agile ceremonies including backlog refinement, sprint planning, stakeholder reviews, and release readiness activities.
• Develop KPIs, success metrics, and business analytics to measure product adoption, performance, and ROI.
• Continuously gather stakeholder and customer feedback to improve product capabilities and delivery outcomes.
• Identify risks, dependencies, and opportunities while helping guide product decisions and delivery execution.

Backend Engineer

• Support the design and implementation of strategies that emphasize data ownership, quality, and lifecycle management
• Lead AWS platform design (VPC, IAM, networking) and define S3 storage patterns across Bronze, Silver, and Gold medallion layers
• Author production-ready Terraform modules with state management and remote backends
• Ensure strict tenant isolation across storage and compute layers
• Serve as the primary technical authority for all cloud infrastructure decisions
• Define and document reference blueprints, CDC/streaming partitioning strategies, operational runbooks, cost-tagging standards, and CloudWatch observability patterns

AWS Platform Architect

Risk

• Facilitate stakeholder meetings, workshops, and working sessions to gather requirements and support governance initiatives
• Assess how data is stored, used, and managed across systems, files, and spreadsheets
• Develop and implement data classification frameworks (e.g., Public, Internal, Confidential, Restricted)
• Define and document data handling guidelines, including access, storage, and sharing protocols
• Contribute to data lifecycle management policies, including retention and deletion standards
• Help establish and support data ownership and stewardship roles across the organization
• Identify and mitigate common data risks such as duplication, inconsistent definitions, and uncontrolled sharing
• Support development and execution of phased data governance roadmaps
• Create documentation, policies, and training materials to support adoption
• Collaborate with internal teams to ensure consistent and high-quality implementation of governance practices

Senior Data Governance Specialist

Data Analyst

• Analyze source systems and data warehouse structures to support transformation into new data products, including performing gap analysis and identifying data requirements
• Write and execute SQL queries to explore, validate, and interpret data across systems with limited documentation
• Translate complex data logic into clear insights for both technical and non-technical stakeholders, including identifying edge cases and validating business rules
• Support ETL processes and collaborate with developers and stakeholders to ensure solutions align with business needs and are feasible
• Perform data validation, testing, and root cause analysis to ensure data quality and resolve issues
• Contribute to proof-of-concepts, test case development, and scalable validation approaches for complex datasets
• Partner with cross-functional teams to prioritize work, present findings, and support data storytelling through reports, visualizations, and diagrams
• Document data mappings, definitions, and standard processes to support ongoing development and maintenance.