Job Information
MTA Senior Director HR Data Governance in New York, New York
Senior Director HR Data Governance
Job ID: 7897
Business Unit: MTA Headquarters
Location: New York, NY, United States
Regular/Temporary: Regular
Department: Human Resources Data Science
Date Posted: Jun 27, 2024
Description
JOB TITLE : Senior Director, HR Data Governance
SALARY RANGE : $160,000-$175,000
HAY POINTS : 1096
DEPT/DIV: People Department
SUPERVISOR : Deputy Chief, HR Operations & Analytics
LOCATION : 2 Broadway New York, NY 10004
HOURS OF WORK : 9:00 am - 5:30 pm (7 1/2 hours/day)
DEADLINE : Until Filled
This position is eligible for telework which is currently one day per week. New hires are eligible to apply 30 days after their effective date of hire.
SUMMARY :
The Senior Director of HR Data Governance is a pivotal leader within the HR Operations and Analytics organization responsible for setting and upholding HR data standards, managing data governance protocols, and ensuring robust data security around appropriate user access to read HR data across all Human Resource Information Systems (HRIS). This role is instrumental in shaping and directing the organization’s HR data management practices. It involves rigorous oversight of data standards and governance processes to achieve full compliance with data security requirements within the HRIS framework. The primary goal is to enhance decision-making through reliable data, improve data accuracy, and protect sensitive information, thereby boosting organizational effectiveness and meeting international data protection standards.
A significant focus for the Senior Director is the agency-wide standardization of HR Job Codes and Action Reason Codes. This effort is directed at improving data quality and establishing uniform processes, which are crucial for consistent data management and reporting. By standardizing these codes, the organization will streamline internal operations and enhance its data analysis capabilities, leading to more effective workforce planning and management.
RESPONSIBILITIES :
Strategic Data Governance Oversight:
Spearhead the development and enforcement of an extensive HR data governance framework, covering aspects of data integrity, privacy, and usage to align with the organization's strategic objectives.
Establish and maintain governance structures and processes that ensure effective data management and strategic alignment across all departments.
Data Quality Management:
Direct the implementation of initiatives aimed at sustaining high data quality throughout HR systems, including regular data cleansing, auditing, and validation to assure data accuracy and consistency.
Develop metrics and monitoring systems to track data quality improvements and identify areas needing attention.
Data Security and Compliance:
Collaborate with IT Security to formulate and uphold stringent data security protocols to prevent unauthorized data access and breaches, ensuring organizational compliance with MTA IT Cyber security protocols.
Regularly review and update security measures in response to new threats and compliance requirements.
Leadership and Team Development:
Lead, mentor, and build the capacity of the data governance team, promoting an environment conducive to professional growth and high performance.
Set clear performance metrics and development goals for team members, providing regular feedback and career development opportunities.
Cross-Functional Collaboration:
Facilitate collaboration between HR, IT, legal, and compliance departments to integrate HR data governance with corporate-wide data management strategies.
Lead multidisciplinary projects to tackle complex data-related challenges and drive innovative solutions that enhance organizational capabilities.
Change Management and Stakeholder Engagement:
Manage change processes associated with data governance initiatives to ensure smooth implementation and adoption with minimal resistance.
Engage with key stakeholders across the organization to communicate the strategic importance of robust data governance, securing their support and collaboration.
Advanced Analytics and Reporting:
Leverage advanced analytics to generate strategic insights and detailed reports that measure data accuracy and precision, completeness, and data cleansing opportunities.
Ensure that analytics and reporting capabilities are continually improved and aligned with business needs.
Regulatory Monitoring and Compliance Adjustment:
Continuously monitor and audit HR data entry practices that impact data governance and adjust policies and practices to maintain compliance and data integrity.
Educate and train the organization on relevant and poor practices that affect HR data usage and quality.
System Integration and Optimization:
Oversee the integration of HR data governance practices into existing corporate systems and platforms to enhance data accessibility and utility.
Evaluate and optimize the technological frameworks supporting HR data operations to ensure they meet current and future needs.
Innovation and Technology Adoption:
Identify and integrate cutting-edge technologies and methodologies to enhance the data governance landscape.
Champion the exploration and adoption of new tools that facilitate better data management and governance, such as machine learning and artificial intelligence capabilities.
Other duties
KNOWLEDGE, SKILLS, AND ABILITIES
COMPETENCIES
- Technical Proficiency:
Data Governance Expertise: Deep understanding of data governance frameworks and best practices.
Technical Skills: Proficiency in using major data management software, understanding of database architectures, and familiarity with data processing applications.
Analytical Skills: Ability to analyze complex data sets to identify trends, insights, and improvement opportunities.
Data Security Knowledge: Expert knowledge of data privacy laws and the ability to implement data security measures that comply with regulations such as GDPR and CCPA.
- Strategic Thinking:
Visionary Leadership: Ability to foresee future challenges and opportunities in data governance and prepare the organization accordingly.
Strategic Planning: Skills in developing long-term strategies that align data governance with organizational goals.
Innovation: Ability to leverage new technologies and methodologies to enhance the data governance processes and tools.
- Management Skills:
Project Management: Strong organizational skills to manage multiple projects simultaneously, including setting deadlines, coordinating teams, and ensuring project goals are met on time and within budget.
Team Leadership: Experience in leading and motivating a team, developing staff capabilities, and managing performance.
Resource Management: Effective allocation of resources, including human, financial, and technological resources, to optimize data governance initiatives.
- Communication and Interpersonal Skills:
Stakeholder Engagement: Ability to engage with and influence stakeholders at all levels, including executive management, to secure buy-in for data governance initiatives.
Clear Communication: Excellent verbal and written communication skills to articulate complex data governance concepts to non-technical audiences.
Negotiation Skills: Proficient in negotiating with vendors, stakeholders, and external partners to achieve favorable outcomes for the organization.
- Problem-Solving Abilities:
Analytical Problem-Solving: Capable of identifying problems quickly and using analytical reasoning to evaluate solutions.
Creative Thinking: Ability to develop innovative solutions to data governance challenges.
Decision Making: Strong decision-making skills, particularly in high-pressure situations, to ensure data integrity and security.
- Regulatory Compliance and Ethical Integrity:
Regulatory Knowledge: Up-to-date knowledge of industry-specific regulations and general compliance requirements.
Ethical Judgment: High ethical standards and integrity in handling sensitive and confidential data.
Compliance Management: Skills in developing and maintaining compliance systems that meet both internal standards and external legal requirements.
- Adaptability and Continuous Learning:
Adaptability: Ability to adapt to changes in the technological landscape and regulatory environment.
Learning Orientation: Commitment to continuous learning and professional development to stay ahead of the curve in data governance technologies and practices.
EDUCATION AND EXPERIENCE :
REQUIRED:
Bachelor’s degree in information technology management, Data Science, Business Administration, Human Resources, Statistics, or a related field from an accredited college or an equivalent combination of education and experience.
Minimum of 12 years of experience in data governance, analytics, HRIS data management or a related field, with at least 5 years in a senior management role.
Expert knowledge of data privacy laws and best practices in data management.
Strong project management skills and experience leading cross-functional teams.
Excellent problem-solving, analytical, and communication skills.
Well-versed in best practices for data management and governance. This includes skills in data quality management, data security measures, and the development of policies for data usage and storage.
Knowledge of Data Modeling practices.
Minimum of 6 years of experience with SQL coding
PREFERRED:
Master’s degree in Data Science.
Experience with Python and/or R.
Certifications in data governance, such as CIMP or CDMP.
Experience with cloud based HRIS platforms and advanced data analytics tools.
OTHER INFORMATION:
Pursuant to the New York State Public Officers Law & the MTA Code of Ethics, all employees who hold a policymaking position must file an Annual Statement of Financial Disclosure (FDS) with the NYS Commission on Ethics and Lobbying in Government (the “Commission”).
Equal Employment Opportunity
MTA and its subsidiary and affiliated agencies are Equal Opportunity Employers, including with respect to veteran status and individuals with disabilities.
The MTA encourages qualified applicants from diverse backgrounds, experiences, and abilities, including military service members, to apply.