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The Associate CIO, Data Management Integration and Analytics and University Data Officer will be principally responsible for defining, developing and implementing an enterprise data strategy that is focused on: Supporting university strategic decision making by being the nexus between the strategic questions, the technological solutions and the data resources. The Associate CIO, Data Management Integration and Analytics and University Data Officer will be a key player in establishing and sustaining a campus-wide data governance infrastructure that fosters a culture of trust and shared responsibility for the ethical use of administrative data for institutional strategic purposes.

YEAR

<h2>Overview</h2><p>The Associate CIO, Data Management Integration and Analytics and University Data Officer is the senior university executive responsible for supporting the effective use of administrative data at Princeton.  The Associate CIO, Data Management Integration and Analytics and University Data Officer acts as the chief data strategist for the university and oversees the governance and policy infrastructure necessary to facilitate the use of data for operational benefit and decision support. The Associate CIO, Data Management Integration and Analytics and University Data Officer reports to the Chief Information Officer with a dotted line to the Provost.  S/he works closely with the Strategic Analysis group in the Provost Office in addition to the university Data Stewards, Analysts and with IT professionals responsible for data warehousing/reporting to build and sustain an enterprise data strategy that can help the University achieve its goals. The Associate CIO, Data Management Integration and Analytics and University Data Officer will be a key player in establishing and sustaining a campus-wide data governance infrastructure that fosters a culture of trust and shared responsibility for the ethical use of administrative data for institutional strategic purposes. </p><h2>Responsibilities</h2><p>The Associate CIO, Data Management Integration and Analytics and University Data Officer will be principally responsible for defining, developing and implementing an enterprise data strategy that is focused on:</p><ul><li>Supporting university strategic decision making by being the nexus between the strategic questions, the technological solutions and the data resources.</li><li>Increasing the value of University data assets by aligning data collected for operational purposes with data needed for strategic purposes in order to provide the organization with data required to achieve strategic goals.</li><li>Work in close collaboration data users and institutional data stewards to establish an enterprise data road map and data management processes that enable information sharing, collaboration, compliance and security In support of the overall University data Strategy.</li><li>Identify new kinds, types and sources of data to enable administrative innovation throughout the organization. Create and oversee a centralized service for sourcing external data to ensure quality, traceability, timeliness, usability and cost-effectiveness.</li><li>Establish and sustain a data governance system that aligns data stewardship with the overall data strategy.</li><li>Organize and lead a data and analytics governance council to provide executive sponsorship for and oversight of governance policy creation and compliance.</li><li>Identify and standardize the use and governance of data and analytics, have oversight and ensure that standardized data governance "tools" including data requirements documents, data lineage work flows, metadata forms, data models, etc. are used across the organization by all relevant stakeholders in support of the enterprise's business strategy.</li><li>Define, manage and advance enterprise information management principles, policies and programs for stewardship, advocacy and custodianship of data and analytics, in concert with legal, information security, and corporate risk and compliance offices.</li><li>Responsible for campus wide Data Management and will influence the overall technical strategy for Data Collection, Operations, Reporting and Analytics</li><li>Manage and influence enterprise data quality through the recurring certification of enterprise data assets and the reporting of data asset health in the enterprise data scoring process, including overseeing remediation plans.</li><li>Define, manage and advance enterprise information management principles, policies and programs for stewardship, advocacy and custodianship of data and analytics.</li><li>In cooperation with the Chief Information Security Officer, General Counsel and other concerned parties, develop standards for the appropriate use of information taking into consideration changing security requirements, privacy needs, ethical values, societal expectations and cultural norms.  </li><li>Build and manage a transparent and auditable framework for data sharing between departments that implements the appropriate use standards.</li><li>Responsible for Master Data Management and establishing common terms and definitions for data that facilitate cross-institutional data use.</li></ul><h2>Qualifications</h2><ul><li>Bachelor’s or master’s degree in business administration, computer science, data science, information science or related field, or equivalent work experience.</li><li>Academic qualification or professional training and experience in legal and regulatory areas are also desirable. </li><li>Post doctorate degree in mathematics, data science, information science or a related field is an advantage.</li><li>Fifteen or more years of leadership experience, ideally in IT Data Strategy or Management, recently at or near the executive level.</li><li>Five or more years of progressive leadership experience in leading successful cross-functional teams and enterprise-wide programs, operating and influencing effectively across the organization and within complex contexts.</li><li>Experience in integrating complex, cross-department processes and information strategies.</li><li>Experience running data analytics teams using the latest data mining, machine learning and/or artificial intelligence techniques. </li><li>Broad experience in multiple competency areas of data and analytics delivery; examples are data warehousing, business intelligence (BI), data governance, data architecture, data integration, data classification, data strategy, data quality management, data security, and privacy, MDM, data standards, regulatory compliance and enterprise architecture frameworks</li><li>Excellent business acumen and interpersonal skills; able to work across business lines at a senior level to influence and effect change to achieve common goals.</li><li>Demonstrated leadership; proven track record of leading complex, multidisciplinary Data Strategy initiatives.</li><li>A strong commitment to building a diverse and inclusive team culture.</li><li>The ability to describe business use cases/outcomes, data sources and management concepts, and analytical approaches/options. The ability to translate among the languages used by executive, operational, IT and analytic stakeholders.</li><li>Information strategy experience — Experience in strategic technology planning and execution, and policy development and maintenance.</li><li>Analytical skills — Outstanding analytical and problem-solving abilities.</li><li>Gravitas to develop a framework for information and analytics governance, as well as to sell and embed it in all levels of the business.</li><li>Excellent oral and written communication skills, including the ability to explain digital concepts and technologies to non-technical audiences, and business concepts to technologists.</li><li>Demonstrated knowledge of the following is desired: data structure, information systems/tools, related software and data management, and record-keeping policies and practices in a complex organizational environment.</li><li>Proven ability to balance team and individual responsibilities, build teams and consensus, get things done through others not directly under his/her supervision.</li><li>Proven ability to work ethically and with integrity.</li></ul><p>Princeton University has retained Opus Partners to support the recruitment of this position. Craig Smith, Senior Partner; Katie Dean, Senior Partner; and Jeffrey Stafford, Senior Associate, are leading the search. Confidential inquiries, applications, and nominations should be sent by email to Jeffrey.stafford@opuspartners.net. The search process will unfold with the greatest possible attention to candidate confidentiality. Required application materials include a resume and letter of interest. The cover letter should reflect how qualifications and experience match those described in this leadership profile and how they may advance the mission and values of Princeton University.</p><p> </p><p>Princeton University is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.</p><p> </p><p>The University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly.</p><p> </p><p>If the salary range on the posted position shows an hourly rate, this is the baseline; the actual hourly rate may be higher, depending on the position and factors listed above.</p><p> </p><p>The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information.</p><h2>Standard Weekly Hours</h2>36.25<h2>Eligible for Overtime</h2>No<h2>Benefits Eligible</h2>Yes<h2>Probationary Period</h2>180 days<h2>Essential Services Personnel (see policy for detail)</h2>No<h2>Physical Capacity Exam Required</h2>No<h2>Valid Driver’s License Required</h2>No<h2> Experience Level</h2>Director<h2></h2>#LI-NR1<h2>Salary Range</h2>$265,000 to $306,000

Princeton University

University Data Officer

Analysis Skills

Artificial Intelligence (AI)

Business Administration

Business Case

Business Skills

Business Strategy

Communication Skills

Computer Science

Corporate Compliance

Cost Effectiveness Analysis

Cross-Functional

Data Analysis

Data Collection

Data Management

Data Mining

Data Modeling

Data Quality

Data Science

Data Structures

Data Warehousing

Decision Support

Driver's License

Information Science

Information Technology & Information Systems

Information/Data Security (InfoSec)

Interpersonal Skills

Leadership

Legal

Machine Learning

Master Data Management (MDM)

Mathematics

Metadata

Options Analysis

Policy Development

Presentation/Verbal Skills

Privacy Controls

Problem Solving Skills

Record Keeping

Regulations

Risk

Sales

Security Compliance

Standards Development

Stewardship

Strategic Analysis

Strategic Planning

Team Lead/Manager

Technical Strategy

Traceability

Usability Engineering

Use Cases

Writing Skills

The Trustees of Princeton University

FEED

The busiest rail connection between New York, New Jersey, and the Northeast Corridor, the Hudson Tunnel Project will improve capacity, reliability, and resiliency of commuter and intercity rail transit serving 800,000 daily passengers from Washington, D.C. to New York and New England. Work closely with data architecture and IT service teams to align technology platforms, scope data model changes, and support seamless transitions into operations.

<p><strong>About the Company & Project</strong></p><p>Our client is a leading global Consultancy renowned for delivering high-profile, complex, iconic, large-scale capital projects.</p><p>We are currently seeking a dedicated and accomplished Construction Reporting Analyst for the <strong>Hudson Tunnel Project (HTP). </strong>This is a once in a lifetime opportunity to contribute to this landmark project that is poised to deliver transformative impacts across economic, transportation, and environmental sustainability.</p><p>The busiest rail connection between New York, New Jersey, and the Northeast Corridor, the Hudson Tunnel Project will improve capacity, reliability, and resiliency of commuter and intercity rail transit serving 800,000 daily passengers from Washington, D.C. to New York and New England. This is a milestone project that is slated to receive nearly $12 billion in federal funding, the largest investment in a mass transit project in modern history.</p><p>In this role, you will play a pivotal role in the delivery of this significant project. This is a fantastic opportunity to be part of a mission that aligns with our clients purpose: to create responsible places that bring transformative impact to their people, communities, and societies.</p><p><strong>Responsibilities</strong></p><ul><li>Design, develop, and maintain business intelligence and analytics solutions using Microsoft Power BI, with a focus on performance and long-term supportability.</li><li>Collaborate with stakeholders to gather requirements, deliver insights, and ensure data integrity through analysis, master data management, and quality assurance.</li><li>Work closely with data architecture and IT service teams to align technology platforms, scope data model changes, and support seamless transitions into operations.</li><li>Maintain up-to-date knowledge of emerging technologies, driving innovation in reporting and digital solutions.</li><li>Contribute to the net zero carbon transition by identifying and managing emissions reduction opportunities throughout project delivery.</li></ul><p><strong>Qualifications</strong></p><ul><li>Proven experience designing, developing, and supporting BI solutions using Microsoft Power BI.</li><li>Strong analytical skills with a demonstrated ability to extract actionable insights from complex data sets.</li><li>Full project lifecycle experience within large-scale programs and cross-functional delivery teams committed to quality.</li><li>5+ years of experience with strong Power BI, data structures and creating reports in Power BI</li><li>Ability to work with all systems running, integration with tables, API's, data business and mining background. Very fluent in data management and report creation.</li><li>Relevant certifications and construction industry background are advantageous.</li></ul><p>This is an excellent opportunity for a <strong>Construction Reporting Analyst</strong> looking to work on high-profile, challenging and innovative construction projects. If you're an ambitious professional who thrives in a client-facing role and enjoys delivering solutions that drive project success, we encourage you to apply.</p><p><em>Platinum Global Talent Solutions is committed to providing equal employment opportunities to all qualified individuals. We refer candidates based on their qualifications and experience, without consideration of race, color, religion, national origin, sex, age, disability, veteran status, or any other legally protected status.</em></p><p><strong>Why this is a Great Opportunity</strong></p><ul><li><ul><li>Full-time position with competitive compensation</li><li>Comprehensive benefits, including medical, dental, vision, and 401(k)</li><li>Opportunity to work in a client-facing role delivering significant and impactful capital projects.</li><li>Collaborative and supportive work environment with the opportunity for growth in your career</li></ul></li></ul><p><strong>Benefits</strong></p><ul><li><ul><li>Medical, Dental and Vision Insurance</li><li>Life Insurance and Accidental Death and Dismemberment</li><li>Disability Insurance</li><li>401(k) plan</li></ul></li></ul><p/>

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University Data Officer Princeton University

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