Data Analytics Product Manager, Asset Management

About Northern Trust:

Northern Trust, a Fortune 500 company, is a globally recognized, award-winning financial institution that has been in continuous operation since 1889.

Northern Trust is proud to provide innovative financial services and guidance to the world's most successful individuals, families, and institutions by remaining true to our enduring principles of service, expertise, and integrity. With more than 130 years of financial experience and over 22,000 partners, we serve the world's most sophisticated clients using leading technology and exceptional service.

Role Summary:

Northern Trust Asset Management (NTAM) is an over a trillion dollar investment management firm entrusted by investors around the globe to help them navigate changing market environments, so they can confidently realize their long-term objectives.

NTAM has embarked on an ambitious plan to modernize its data and analytics capabilities and embed a data-driven culture throughout the organization. NTAM is creating better ways of consuming, producing, delivering and managing data to help ourselves and our clients to become more efficient in their Data Management Practices.

The focus is on building Self-Service Analytics data products and capability by taking a customer first approach to instill trust in our data, generate insight and deliver the best client experience. This role ensures that we enable our internal customers to have the right data assets to enable users to self serve and drive data driven decisions.

Primary Duties and Responsibilities:

Build a world-class Data Products capability in the Analytics space. Responsibilities include:

• Define the data product roadmap, including the long-term vision and strategy for data products.
• Identify market opportunities while analyzing user needs to prioritize and plan the development of data products.
• Collaborate closely with others in NTAM to build a high-performing data product team, providing guidance, mentorship, and support to ensure the team's success in delivering high-quality data products, while promoting a collaborative and innovative culture within the team.
• Drive product development and delivery: Oversee the end-to-end product development lifecycle.
• Support, challenge, and continually evolve our data strategy while defining our approach to data that will support the business in meeting its strategic priorities over time
• Develop and build strategic relationships with external parties to ensure the definition and delivery of analytics is future-proofed and in line with industry best practices.
• Encourage the entire business to be customer-focused and data-led to drive cultural change.
• Set up a culture of knowledge-sharing across Northern Trust
• Leverage Northern Trust's data expertise to proactively challenge and influence internal and external stakeholders
• Effectively drive cross-functional collaboration to ensure success in delivering the data strategy.
• Perform launches and post launch assessments / recommendations.

Necessary Knowledge and Skills:

• Experience working within Asset Management space
• Experience and skills in building commercially productive data capabilities, be that in product generation of data sets and data domains for clients or Data Services that disrupt the competitive landscape.
• Proven track record of successful innovation and product launch
• Prior experience in commercial pricing, modelling and revenue generation
• Prior exposure or experience in the Data Management and the Data Products space
• Proven experience in a delivery critical role
• Proven experience in a role which requires networking, partnership building and credibility development internally and externally to an organization
• Demonstrated thought leadership through public speaking, sales pitches or demonstrations
• The successful candidate will be able to evidence the following in the first 6 months:
  
  • 3 Months : Expand the product proposition in the Self Service space, fully integrated with the product scrum teams, able to drive the product requirements and prioritization with the business. Whilst the framework will be set for all data products, the successful candidate will play a hands-on role to drive the next stage of product growth and maturity.
  • 6 Months+: Start to embed product success metrics, run product demo sessions with internal clients to show continuous, measurable evolution of adoption of data for analytical use.

Necessary Experience and Education:

• 10+ years of experience in Data & Analytics, Asset Management Data Domains, 5+ in Product Management is a must
• At least 6+ years in asset management/investment management.
• Experience in data sourcing and understanding of the third party datasets
• Bachelors degree in field like Math, Data Science, Engineering, Statistics, Finance (with focus on analysis), etc.; MBA or Masters in related field preferred but not required.

Working with Us:

As a Northern Trust partner, greater achievements await. You will be part of a flexible and collaborative work culture in an organization where financial strength and stability is an asset that emboldens us to explore new ideas.

Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to assisting the communities we serve! Join a workplace with a greater purpose.

We'd love to learn more about how your interests and experience could be a fit with one of the world's most admired and sustainable companies! Build your career with us and apply today. #MadeForGreater

Reasonable accommodation

Northern Trust is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at

We hope you're excited about the role and the opportunity to work with us. We value an inclusive workplace and understand flexibility means different things to different people.

Apply today and talk to us about your flexible working requirements and together we can achieve greater.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.