Seismic Content Architecture
Perform deep analysis of Seismic content models across multiple repositories and identify opportunities for optimization and automation.
Workflow Analysis
Lead workflow mapping initiatives to understand current state content operations and identify automation opportunities.
Automation Solution Design
Design and implement automation frameworks to streamline content creation, content lifecycle management, and distribution processes.
Content Structure Optimization
Optimize Seismic content structure to improve scalability, content reuse, governance standards, and operational efficiency.
Future State Architecture
Define and document the future state architecture for Seismic content automation aligned with enterprise content and platform strategies.
Requirements Analysis
Gather, analyze, and document business and content related data requirements and translate them into clear and actionable technical requirements.
Jira Management
Create, refine, and manage Jira stories, tasks, and defects including clear descriptions, acceptance criteria, and dependencies to support content and data initiatives.
Cross Functional Collaboration
Work closely with product managers, business stakeholders, and engineering teams to ensure development activities align with sprint goals and release plans.
Data Analysis and Quality Management
Analyze datasets to identify trends, gaps, and quality issues while supporting root cause analysis and remediation of data related defects.
Stakeholder Communication
Act as a bridge between business teams, product managers, and technical teams to ensure alignment on content, data, and automation requirements.
Data Governance
Support data governance initiatives by ensuring consistent definitions, standards, and usage of content and business data across enterprise platforms.
Testing and Release Support
Support testing, validation, and release readiness activities including documentation, deployment coordination, and operational handoff.
Issue Management and Support
Provide support for data and content related issues while working with engineering and platform teams to resolve operational challenges.