Enterprise Data & Analytics Manager

Job Description Job Description COMPANY SUMMARY
Join United Way of Greater Rochester and the Finger Lakes and become part of a collaborative, mission-driven team dedicated to creating lasting impact across our community. Guided by our values of integrity, action, caring, and teamwork, we foster a welcoming and inclusive culture where employees are encouraged to bring their authentic selves to work and grow professionally. We offer competitive benefits, generous paid time off, retirement and wellness programs, hybrid work flexibility, professional development opportunities, and meaningful ways to give back while building strong connections with colleagues who are passionate about making a difference.
SUMMARY
The Enterprise Data & Analytics Manager leads enterprise-wide efforts to strengthen data governance, quality, analytics, and data-informed decision-making. The role establishes standards, practices, and decision rights across key data domains, including but not limited to donor and constituent, campaign, gift and pledge, volunteer, program, vendor, employee, and financial data.
Working across IT, Finance, Development, Community Impact, Operations, HR, Communications, and executive leadership, the Manager translates business needs and complex data issues into practical solutions, builds cross-functional alignment, and drives adoption of consistent data practices. The role serves as a bridge between business leaders, technical teams, and implementation partners, ensuring data requirements are incorporated into system, reporting, and process improvements.
This is an experienced individual contributor who leads through influence and serves as a trusted advisor on data, analytics, governance, and transformation. Functional leaders and system owners remain accountable for their processes and source data, while the Manager provides the enterprise framework, coordination, and expertise needed to improve data quality, reporting, and confidence in organizational information.
ESSENTIAL FUNCTIONS
Data Governance & Strategy

• Lead the development and ongoing operation of enterprise data governance policies, standards, practices, and decision processes.
• Establish clear data ownership, stewardship responsibilities, decision rights, and escalation paths in partnership with functional leaders.
• Chair and facilitate a data governance council, ensuring decisions are documented, responsibilities are assigned, and follow-through occurs.
• Establish and maintain shared data definitions, business glossaries, data dictionaries, and other documentation that promotes consistent use and understanding of organizational data.
• Develop and maintain a prioritized roadmap for data governance, data quality, master data management, and analytics readiness.
• Advise leadership on data-related opportunities, risks, and priorities that support organizational goals.

Data Quality & Management

• Establish measures and targets for data accuracy, completeness, consistency, and timeliness across priority data domains.
• Monitor data quality, identify recurring issues, and coordinate root-cause analysis and sustainable solutions with system owners and data stewards.
• Establish standards for the creation, maintenance, matching, deactivation, and synchronization of key master data records.
• Implement practical controls for data changes, validation, cleansing, deduplication, standardization, exceptions, and auditability.
• Partner with functional and system owners to improve data quality at the source while maintaining clear accountability for business processes and data entry.
• Monitor and communicate data quality trends, remediation progress, and significant risks to leadership.

Systems, Reporting & Analytics

• Partner with IT and business teams on CRM, financial, HR, and other system implementations, integrations, and enhancements, including data requirements, mapping, migration, testing, validation, and post-launch data considerations.
• Translate business needs into practical data, reporting, governance, and technology requirements.
• Partner with reporting and analytics stakeholders to identify trusted data sources, standardized datasets, and consistent definitions for organizational reporting.
• Help prioritize analytics and reporting needs based on data quality, organizational priorities, business value, and available resources.
• Identify opportunities to improve recurring data and reporting processes through automation, technology, and process improvement.

AI, Innovation & Continuous Development

• Stay informed on emerging capabilities in artificial intelligence, analytics, automation, and data management and assess their potential value to the organization.
• Identify and support responsible opportunities to use AI and automation to improve efficiency, analysis, reporting, and decision-making.
• Promote appropriate consideration of data privacy, security, accuracy, transparency, human oversight, and other risks when evaluating or implementing AI-enabled tools.
• Evaluate new data, analytics, automation, and AI tools based on organizational needs, existing systems, resources, risk, and potential value.
• Continuously identify and implement practical improvements to data practices, processes, systems, and user adoption.
• Promote data and analytics fluency by sharing relevant tools, practices, and emerging capabilities with stakeholders.

Risk, Stewardship & Cross-Functional Leadership

• Ensure data governance and management practices support applicable regulatory, audit, privacy, security, and organizational requirements.
• Support internal and external audits related to data governance, data quality, and data management.
• Identify and address risks associated with inaccurate, incomplete, or inconsistent data, including impacts to financial reporting, payroll, vendor payments, operations, and decision-making.
• Facilitate resolution of cross-functional data questions, including competing definitions, ownership issues, and conflicting business requirements.
• Coach data owners and stewards and support employees in consistently applying data standards and practices.
• Communicate complex data issues, insights, risks, and recommendations clearly to technical and non-technical audiences, including senior leadership.
• Lead communications, training, and adoption efforts when significant data practices, systems, or processes change.

SKILLS & COMPETENCIES

• Strong knowledge of data governance, data quality, master data management, data stewardship, and data lifecycle management.
• Understanding of CRM, ERP/financial systems, data integration, migration, data architecture, reporting, and analytics concepts.
• Ability to translate business needs into practical data, reporting, governance, and technology requirements.
• Strong analytical, problem-solving, process improvement, and project management skills.
• Excellent communication, facilitation, presentation, and data storytelling skills.
• Demonstrated ability to influence leaders and lead cross-functional initiatives without direct authority.
• Ability to navigate ambiguity, competing priorities, and organizational change.
• Working knowledge of AI, automation, analytics, and emerging data technologies, with sound judgment regarding their appropriate and responsible use.
• Advanced Excel skills; SQL, BI, data visualization, data modeling, or modern analytics experience preferred.
• Strong judgment regarding data privacy, security, quality, risk, and responsible use of technology.
• Commitment to continuous learning and applying emerging data and technology practices to practical organizational needs.

EDUCATION AND EXPERIENCE
Required

• Bachelor?s degree in Information Systems, Business Administration, Data Management, Finance, Analytics or a related field.
• At least 4 years of progressively responsible experience in data, analytics, data governance, master data management, business intelligence or data transformation.
• Demonstrated experience improving data quality in corporate systems through defined ownership, controls, and remediation processes.
• Demonstrated experience contributing to at least one cross-functional data governance or master data initiative.
• Demonstrated ability to influence senior leaders and cross-functional stakeholders without direct authority
• Experience communicating complex data and technology concepts to executive and non-technical audiences.

Preferred

• Experience with financial or ERP systems
• MDM or data quality platform experience
• Experience with nonprofit or fundraising CRM platforms (for example, Salesforce, Andar, or Raiser?s Edge)
• Experience with fundraising/constituent data, enterprise KPI frameworks, organizational change or modern cloud analytics environments
• Experience working in regulated or audit-driven environments

REPORTS TO: Senior Director of IT
SUPERVISORY RESPONSIBILITY: None
TRAVEL: None
FLSA CLASSIFICATION:Exempt
SALARY RANGE: $95,000 - $110,000 ANNUALLY
The expected rate of pay for this position is shown above. Compensation offers are based on a wide range of factors including relevant skills, training, experience, education and, where applicable, licenses or certifications obtained. Market and organizational factors are also considered.
. click apply for full job details