Enterprise Data Analytics Manager

CareerCircle
Rochester, NY, United States
1 day ago
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Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Compensation
$62,400.0 - $89,440.0
Working hours
Regular working hours

Tech stack

Microsoft Excel Data Analysis Information Systems Data Architecture Data Validation Data Cleansing Data Dictionary Data Governance Relational Databases Human Resources Information System (HRIS) Metadata Standards Power BI
+8 more
SAS (Software) SQL Databases Systems Integration Tableau (Software) Enterprise Data Management Enterprise Software Applications SAP MDG Data Management

Job description

Auditing Power BI Dashboard Operations Leadership Management Automation Data Entry Governance Scalability Fundraising Data Quality Communication Data Analysis Accountability, SUMMARY The Enterprise Data & Analytics Lead is responsible for the governance, integrity, quality, and lifecycle management of the organizations master data across key domains (e.g., donor/constituent, employer/workplace campaign, gifts/pledges, sponsorships, volunteers, programs/services, vendors, employees, financial). This role establishes data standards, policies, and controls to ensure accuracy, consistency, security, and compliance across enterprise systems. The Enterprise Data & Analytics Lead partners cross-functionally with IT, Finance, Operations, HR, Compliance, and executive leadership to ensure that master data and foundational datasets support operational efficiency, trusted reporting and analytics, regulatory compliance, and strategic decision-making. This role is expected to evolve over time and may assume people-management responsibilities as the enterprise data and analytics function matures. ESSENTIAL FUNCTIONS Data Governance & Strategy: Develop and implement enterprise master data governance frameworks, policies, and standards. Define data ownership, stewardship roles, and accountability models. Establish and chair a data governance council or working group. Create and maintain data dictionaries, business glossaries, and metadata standards. Develop and maintain a multi-year roadmap for enterprise data governance, master data management, and analytics enablement. Data Quality & Integrity: Define data quality metrics (accuracy, completeness, consistency, timeliness). Monitor and report on data quality KPIs. Lead root cause analysis and remediation of data issues. Implement data validation, cleansing, and standardization processes. Master Data Management (MDM) Operations: Oversee creation, maintenance, and deactivation processes for master data records. Ensure proper controls for data changes and approvals. Manage data hierarchy and cross-system synchronization. Partner with IT on MDM tools, ERP systems, and integrations. Sets standards and governs data; system owners and functional teams remain accountable for business processes and source system data entry. Compliance & Risk Management: Ensure master data processes meet regulatory and audit requirements. Support internal and external audits related to data governance. Mitigate risks related to inaccurate financial reporting, vendor payments, payroll, or operational disruptions caused by poor data. Cross-Functional Collaboration: Act as liaison between business units and IT. Gather and translate business requirements into data standards. Provide training and support to data stewards and end users. Support reporting, analytics, and business intelligence initiatives. Partner with reporting and analytics stakeholders to define trusted data sources and standardized datasets. Lead change management for data standards (communications, training, adoption tracking). Continuous Improvement: Identify automation opportunities in data workflows. Evaluate and recommend MDM tools and

Requirements

Building Trust Detail Oriented Microsoft Excel Risk Management Problem Solving Decision Making Data Governance Data Management Data Validation Data Dictionary Vendor Payments Business Process Data Sovereignty People Management Internal Auditing Change Management External Auditing Data Architecture Project Management Influencing Skills Business Valuation Metadata Standards Workflow Management Root Cause Analysis Information Systems Financial Statements Lifecycle Management Relational Databases Regulatory Compliance Business Requirements Business Intelligence Full Stack Development Stakeholder Management Operational Efficiency Master Data Management Business Administration Consultative Approaches Communications Training Business Transformation Strategic Decision Making Organizational Leadership SQL (Programming Language) Enterprise Resource Planning Continuous Improvement Process Cross-Functional Collaboration Enterprise Application Software Customer Relationship Management Organizational Change Management, technologies. Develop dashboards and executive-level reporting on data quality, governance maturity, and data health. SKILLS AND COMPETENCIES Knowledge of data governance frameworks (e.g., DAMA-DMBOK). Experience with MDM platforms and data quality tools. Advanced Excel and familiarity with SQL or BI tools preferred. Understanding of system integrations and data architecture concepts. Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Detail-oriented with strong process mindset. Ability to influence without direct authority. Strong project management skills. EDUCATION AND EXPERIENCE Bachelors degree in Information Systems, Business Administration, Data Management, Finance, or related field. 58+ years of experience in data governance, master data management, analytics enablement, ERP/CRM systems, or related roles. Experience with data quality tools and/or structured MDM processes (platform experience a plus). Strong understanding of enterprise systems (ERP, CRM, HRIS, etc.). Experience working in regulated or audit-driven environments preferred. Preferred Qualifications Experience building or formalizing a data governance program. Experience with donor management, fundraising, nonprofit, healthcare, or membership-based organizations. Power BI experience. SQL experience and understanding of relational databases. Experience supporting enterprise system implementations or data migrations. Familiarity with Microsoft-based data and reporting technologies. Knowledge of Master Data Management (MDM) concepts and best practices.

Skills

Sql, Data, Data analysis, Tableau, Analytic, Reporting, Sas, Dashboard, Erpss

Top Skills Details

Sql,Data,Data analysis,Tableau,Analytic,Reporting, Success Profile The successful candidate will: Be an excellent listener and relationship builder. Demonstrate a consultative approach rather than imposing solutions. Effectively collaborate with stakeholders across all departments. Possess the ability to balance technical expertise with business needs. Build trust while driving organizational change. Create practical, scalable data processes that improve decision-making and operational effectiveness., Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors., Data Analysis Accountability SAS (Software) Building Trust Detail Oriented Microsoft Excel Risk Management Problem Solving Decision Making Data Governance Data Management Data Validation Data Dictionary Vendor Payments Business Process Data Sovereignty People Management Internal Auditing Change Management External Auditing Data Architecture Project Management Influencing Skills Business Valuation Metadata Standards Workflow Management Root Cause Analysis Information Systems Financial Statements Lifecycle Management Relational Databases Regulatory Compliance Business Requirements Business Intelligence Full Stack Development Stakeholder Management Operational Efficiency Master Data Management Business Administration Consultative Approaches Communications Training Business Transformation Strategic Decision Making Organizational Leadership SQL (Programming Language) Enterprise Resource Planning Continuous Improvement Process Cross-Functional Collaboration Enterprise Application Software Customer Relationship Management Organizational Change Management Key Performance Indicators (KPIs) Tableau (Business Intelligence Software)

About the company

We’re partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That’s the power of true partnership. TEKsystems is an Allegis Group company., Were a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. Were a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. Were strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. Were building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools. Related Jobs Enterprise Data Analytics Manager TEKsystems

Rochester, NY*On-Site

Finance Auditing Power BI Dashboard Operations Leadership Management Automation Data Entry Governance Scalability Fundraising Data Quality

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