Senior Associate, Enterprise Data Governance at Neuberger Berman Europe Ltd

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Sep, 26

Salary

140000.0

Posted On

04 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Governance, Data Profiling, Business Process Mapping, Requirements Definition, Microsoft Excel, Microsoft PowerPoint, SQL, Python, Data Modeling, Stakeholder Management, Data Taxonomy, Business Analysis, Data Discovery, Executive Storytelling, BI Tools, Metadata Management

Industry

Financial Services

Description

The Enterprise Data Governance organization is a centralized group which partners with the broader data organization to ensure data is accurate, accessible, and aligned to business objectives across the firm. We're looking for a consultative data professional who can drive meaningful improvements in data quality and usability at an enterprise scale. In this role, you'll partner across the business on operational transformation initiatives — defining identifying gaps, enhancing data integrity, and expanding access to trusted data that teams can act on. Responsibilities: Liaise with business and technology teams to align on data project goals and priorities Ask insightful questions to surface requirements, uncover gaps, and drive clarity across stakeholder groups Lead working sessions with business leaders to gather data and process requirements Aggregate and analyze data across multiple systems, including profiling, design, and definition to identify the root cause of issues Map and assess business processes, identifying pain points and opportunities for improvement Synthesize findings into clear, actionable insights and present recommendations to stakeholders Collaborate with Data Stewards to develop business data taxonomies and conceptual data models Translate complex data findings and recommendations into structured analyses and executive-ready presentations Qualifications: Required 5+ years of experience in data and business analysis Proven ability to perform data discovery, profiling, and analysis in a matrixed organization Experience in business process mapping and requirements definition Strong written and verbal communication skills, with the ability to present to all levels of the organization Strong proficiency in Microsoft Excel (data modelling, pivot analysis, structured outputs) and PowerPoint (slide logic, executive storytelling); able to make complex findings accessible to non-technical audiences Detail-oriented, self-directed, and able to manage multiple workstreams simultaneously Preferred Experience in Consulting, Asset Management, or Financial Services Familiarity with financial services data domains including: Product, Party, Client, Securities, Pricing, Accounts, Trade, Transaction, Performance, and Corporate Actions Experience with BI tools such as Tableau or Business Objects Technical Skills Hands-on experience with one or more: SQL, Python, R, Java, JavaScript, REST, JSON, XML, VBA Familiarity with data governance and management platforms such as Collibra, Alation, Ab Initio, or Informatica (MDM, DQ, ETL, metadata management) Working knowledge of data management disciplines including: Data Architecture, Data Quality, Data Profiling, Data Catalogs, Data Glossaries, Data Taxonomy, Metadata, and Reporting/Visualization Location: New York City; hybrid with a minimum of three days per week in office. #LI-KF1 #LI-Hybrid Applicants must be authorized and have the right to work in the country where the role is located without the need for current or future sponsorship. Compensation Details The salary range for this role is $115,000-$140,000. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. This range is only applicable for jobs to be performed in the job posting location. An employee’s pay position within the salary range will be based on several factors including, but limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, business sector, performance, shift, travel requirements, sales or revenue-based metrics, market benchmarking data, any collective bargaining agreements, and business or organizational needs. This job is also eligible for a discretionary bonus, which, along with base salary and retirement contributions, is part of our total comprehensive package. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance, retirement, life insurance and other benefits to eligible employees.Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, production, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law. Neuberger is an equal opportunity employer. The Firm and its affiliates do not discriminate in employment because of race, creed, national origin, religion, age, color, sex, marital status, sexual orientation, gender identity, disability, citizenship status or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact onlineaccommodations@nb.com. Learn about the Applicant Privacy Notice.

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Responsibilities

Drive improvements in data quality and usability by partnering with business and technology teams on operational transformation initiatives. Responsibilities include gathering requirements, analyzing data across systems to identify root causes, and developing business data taxonomies.