OneMain Financial Jobs

Senior Data Management Professional - Content Acquisition Business Intelligence

Location

New York

Business Area

Data

Ref #

10050071

Description & Requirements

Bloomberg runs on data. Our products are fuelled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology – quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing platinum customer support to our clients. As part of the Content Acquisition (CA)department, we're responsible for supporting the development, enablement, and implementation of data management protocols that enable the delivery of “ready-to-use” data.

What’s the role?

We are looking for a Senior Data Management Professional to join our team within Content Acquisition. You will work with our partners to turn data into clear, useful insights. Examples of insights might include: understanding the value of our existing data sets more clearly, identifying accounts / data sets that may warrant attention, or prioritizing how resources are allocated.

Senior Data Management Professionals help deliver these insights by coupling data literacy, technical skills and business insight to drive continuous improvement throughout the organization. You will develop and maintain quantitative tools to take care of product performance against business goals and outcome focused metrics. Senior Data Management Professionals will be at the forefront of our aim to create a center of excellence for business analysis and continuous improvement in Data.

We'll Trust You To:

• Analyse complex datasets to find opportunities and inform product, content, operations, and risk decisions

• Define, own, and track outcome-focused metrics, using them to guide prioritisation and measure impact

• Build and iterate on datasets, dashboards and data workflows that enable decision-making across product, operations, and risk

• Leverage user behaviour and data usage patterns to shape product direction, operational improvements, and risk mitigation strategies

• Partner with collaborators across CA to align on priorities, scope solutions, and deliver measurable outcomes

• Communicate insights and recommendations clearly to senior partners to influence decisions and drive action

• Own validation of initiatives through pre- and post-launch activities (e.g., user interviews, surveys, performance tracking)

• Maintain clear and reliable documentation of datasets, methodologies, and analytical outputs

You'll Need to Have:

• 4+ years of experience in data science, data engineering, or business intelligence

• Bachelor's degree or equivalent experience in Business, Finance, Technology, or a STEM-related field

• Strong proficiency in SQL, Python, and Spark for scalable data processing, modeling, and analysis

• Experience working across the modern data stack, including storage, query engines, and visualisation layers (e.g., S3, Spark, Trino, Qlik, Streamlit, or similar)

• Experience translating business requirements into scalable, production-grade data workflows, incorporating AI-assisted development and agent-based automation

• Hands-on experience in areas such as machine learning, statistics, optimisation, product analytics, causal inference, and/or experimentation

• Demonstrated product thinking, with an ability to prioritise, balance trade-offs, and focus on delivering measurable outcomes

• Demonstrable ability to manage and deliver multiple projects with solid attention to detail

• Solid eye for business with experience synthesizing complex analyses into actionable recommendations

We'd Love to See:

• Experience designing and scaling agentic, AI-driven workflows using modern agent frameworks and orchestration tools (e.g., LangChain, MCP, or similar)

• Experience designing data-driven workflows with an understanding of business process modeling (e.g., BPMN) and organizational change principles

• Experience deploying ML models in production, including monitoring and performance optimisation

• Experience influencing senior partners to drive data-informed decisions

• Advanced degree or equivalent experience in Business, Finance, Technology, or a STEM-related field

Does this sound like you?

Apply if you think we're a good match! We'll get in touch to let you know what the next steps are.

Salary Range = 110000 - 190000 USD Annually + Benefits + Bonus

The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.

We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.

Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email amer_recruit@bloomberg.net