Remote Senior Data Governance Lead

UNAVAILABLE

United States

Hybrid

USD 75,000 - 112,000

Full time

14 days+

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Job summary

Applied Systems, Inc. is seeking a Senior Data Governance Manager / Lead to architect and scale a fit-for-purpose Data Governance program across the organization.

You will drive policy, data lifecycle controls, and cross-functional governance initiatives with a strong focus on data literacy and AI-enabled productivity. The role requires 8+ years in data governance, a business-focused mindset, and the ability to influence both technical and business stakeholders.

Qualifications

  • 8+ years of experience across data management and data governance roles, preferably within a SaaS environment.
  • Bachelor’s degree in Business, Statistics, Computer Science, or a related field.
  • Proven experience designing and implementing data governance frameworks within large, complex organizations.
  • Strong knowledge of industry-leading data governance practices, including experience selecting and implementing appropriate tools and technologies.
  • Deep understanding of the full data lifecycle and associated governance requirements.
  • Knowledge of data privacy and regulatory requirements, including GDPR, CCPA, and similar legislation.
  • Proficiency in SQL with the ability to analyze datasets, identify trends, and derive actionable insights.
  • Excellent analytical, problem-solving, written, and verbal communication skills.
  • Results-oriented mindset with a track record of driving projects to completion and collaborating effectively across organizational boundaries.
  • Strong organizational skills with the ability to manage competing priorities, meet deadlines, and deliver high-quality work in a timely manner.
  • Experience with business process modeling and facilitating cross-functional workshops.
  • Demonstrated ability to influence stakeholders and build strong relationships across both business and technical teams.
  • Passion for AI and a demonstrated interest in leveraging AI to improve productivity, accelerate workflows, and drive better outcomes.

Responsibilities

  • Support the rollout and adoption of a new Data Governance operating model while actively engaging, educating, and collaborating with the Data Stewardship community.
  • Manage the data lifecycle, including access, classification, storage, retention, and deletion, to ensure data integrity, security, and compliance.
  • Partner with the Data Office and Data Stewards, working closely with data owners to maintain governance standards and resolve data-related issues.
  • Foster a strong data-centric culture across the organization.
  • Translate complex data risks into clear business implications and actionable insights for leadership and key stakeholders.
  • Define and execute short- and long-term strategies to improve data integrity, consistency, quality, and usability.
  • Lead data governance initiatives and cross-functional projects from strategy through execution.
  • Leverage Data Governance tools to develop and maintain data catalogs, data lineage, and metadata management processes, enabling easy and reliable access to data assets.
  • Develop and lead training programs to upskill key Data Governance roles and strengthen data literacy across the organization.
  • Create and maintain tools, guides, templates, and other resources that empower stakeholders to maintain and improve data quality.
  • Establish key performance indicators (KPIs) to measure the effectiveness of Data Governance initiatives and regularly report on progress, outcomes, and opportunities for improvement.

Skills

Data governance
Stakeholder management
SQL proficiency
Data lifecycle
Policy implementation

Education

Bachelor's degree in Business, Statistics, Computer Science, or related field

Job description

Applied Systems, Inc. is seeking a Senior Data Governance Manager / Lead to architect and scale a fit-for-purpose Data Governance program across the organization.

You will drive policy, data lifecycle controls, and cross-functional governance initiatives with a strong focus on data literacy and AI-enabled productivity. The role requires 8+ years in data governance, a business-focused mindset, and the ability to influence both technical and business stakeholders.

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