Sr Data Governance Manager/ Data Governance Lead

Job summary

The Senior Data Governance Manager will lead the development and implementation of a data governance operating model to ensure data integrity, security, and compliance. They will collaborate with stakeholders to define data strategies, manage data lifecycles, and foster a data-centric culture across the organization.

Job details

Job Description Applied Systems, Inc., a worldwide leader in insurance technology, is currently searching for a Senior Data Governance Manager / Data Governance Lead to join our team. We are on an exciting journey to scale our Data and Analytics capabilities to enable better data-driven decision making across the business. This is a multi-faceted role meant to build and enable a fit-for-purpose Data Governance program that has the right balance between controls and flexibility. The ideal candidate is someone with a curious personality, strong understanding of data governance frameworks, policies and strong focus understanding business needs and operations. They will also have a background in knowledge management to help build and accelerate a data-centric culture. What You’ll Do 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. What You’ll Need to Succeed Your experience should include: 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. Talent shows up in a lot of different ways, and we mean that. We welcome candidates from all backgrounds and experience levels, including military members and their spouses and those without a traditional degree or tech background. If this role speaks to you, apply. Why You’ll Like Working on Team AppliedThe best work happens when smart people move fast, together. For over 40+ years, Applied has built technology that solves real problems for insurance professionals - and we’re still pushing what’s possible. You’ll be part of our people-first culture built on trust, inclusion, and growth - where you’re supported to deliver, collaborate with teammates who care, and grow with leaders invested in your success. How We’ll Support You We invest in the whole person, not just the role. Our benefits and resources are built to support your health, your time, and your life outside of work: Medical, Dental, and Vision Coverage Holiday and Vacation Time Health & Wellness Days A Bonus Day for Your Birthday Compensation Transparency The anticipated base salary range for this position in the United States is $100,000 - $160,000. Actual starting compensation will be determined based on a variety of factors, including a candidate's experience, skills, qualifications, and the scope and responsibilities of the role. In addition to base salary, eligible employees may participate in incentive compensation programs, such as annual bonuses or commissions, and receive a comprehensive benefits package. Your Security Matters: Our candidates’ personal information and online safety are top of mind. Applied communicates with candidates only via a secure @appliedsystems.com email address or through our official careers portal. Recruiters will never request payments or ask for financial account or sensitive personal information like Social Security numbers. AI Utilization We leverage AI tools to streamline parts of our recruitment workflow (such as resume parsing and interview scheduling). However, final decisions are always conducted by real humans. EEO Statement Applied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied, we don’t discriminate, and we are committed to recruit, develop, retain, and promote regardless of race, religion, color, national origin, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law. #LI-Hybrid / #LI-Remote#LI-US

What you’ll do

The Senior Data Governance Manager will lead the development and implementation of a data governance operating model to ensure data integrity, security, and compliance. They will collaborate with stakeholders to define data strategies, manage data lifecycles, and foster a data-centric culture across the organization.

Requirements

Candidates must have 8+ years of experience in data management and governance, preferably within a SaaS environment, and hold a bachelor's degree in a relevant field. Proficiency in SQL, knowledge of regulatory requirements like GDPR/CCPA, and strong leadership skills are essential for this role.

Benefits

• Medical coverage • Dental coverage • Vision coverage • Holiday time • Vacation time • Health and wellness days • Bonus day for birthday

Listed skills

• SQL · Preferred
• Data analysis · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data governance
• Data management
• Data lifecycle management
• Data stewardship
• Data integrity
• Data security
• Compliance
• SQL
• Data analysis
• Metadata management
• Data lineage
• Business process modeling
• Stakeholder management
• Strategic planning
• Training and development
• AI literacy
• Influencing Skills
• Data Literacy
• General Data Protection Regulation (GDPR)
• Workflow Management
• Organizational Skills
• Ability To Meet Deadlines
• Curiosity
• Data Lineage
• Data Privacy
• Data-Driven Decision Making
• Artificial Intelligence
• Social Security
• Business Process Modeling
• Business Statistics
• Software As A Service (SaaS)
• Computer Science
• Data Governance
• Data Integrity
• Data Management
• Data Quality
• Governance
• Leadership
• Problem Solving
• Key Performance Indicators (KPIs)
• Knowledge Management
• Legislation
• Metadata Management
• Operations
• Parsing
• Regulatory Requirements
• SQL (Programming Language)
• Usability
• Verbal Communication Skills
• Scheduling

Job areas

• Data & Analytics
• Management & Leadership
• Technology
• Software
• Data Governance Lead
• Data Manager
• Database Designers and Administrators
• Database Architects