About Actian: Actian empowers enterprises to confidently manage and govern data at scale, integrating across on-premises, cloud, and hybrid environments.
Guide organizations in the design and implementation of governance frameworks, policies, procedures, and roadmaps that align with business strategy and regulatory requirements.
Advise on data management capabilities: catalog, marketplace, lineage, metadata management, quality, master data management, privacy & security, observability, integration, and regulatory compliance (such as GDPR, CCPA).
Assess current data landscapes, identify gaps, and recommend actionable improvements.
Facilitate data stewardship, ownership, and classification, including defining and communicating roles and responsibilities.
Monitor industry trends and regulatory developments and recommend changes to policies, standards, or technologies.
Collaborate with business and IT leaders to align data management with operational priorities and facilitate organizational change.
Architect end-to-end solutions for data management across enterprise applications and systems.
Deliver reports, workshops, and presentations to internal and external stakeholders; provide thought leadership, training, and advice across projects and policies that impact data flows and governance.
Facilitate workshops and training sessions for data owners, stewards, and executives; act as a trusted advisor to business and technical stakeholders.
Define KPIs to measure the effectiveness of governance programs.
Requirements
A bachelor's degree in fields like computer science, information systems, business administration, or related disciplines
Extensive experience in data stewardship, data architecture, and governance implementation (typically 5+ years)
Excellent business writing, communication, and stakeholder management skills
Design & Implementation experience with data management tools and technologies - catalog, marketplace, lineage, metadata management, quality, master data management, privacy & security, observability, integration
Strong analytical and problem-solving skills
Ability to manage competing priorities and work collaboratively across business and IT teams
Consulting and stakeholder management skills to interface across technology and business functions
Up-to-date knowledge of cloud, hybrid, and modern data engineering patterns
The ability to adjust the level of technical detail, format, and frequency of communication based on the audience.