Funds Data Lead, Fund Services, Investor Services

TSR Consulting; Boston (MA); On-site; USD 79,900 - 99,187; Full time

Job summary

A consulting firm based in Boston is seeking an AVP/VP- Funds Data Lead for their Fund Services Product Data Transformation team. The role involves championing the Fund Services Data model, developing data models, and optimizing data usage for key initiatives. Ideal candidates should have 5+ years of relevant experience in data roles, particularly in Fund Services. This is a contract position at the mid-senior level.

Qualifications

• 5+ years of experience in Data Architecture, Data Governance, Data Engineering, Data Modelling, or ETL.
• Strong experience in Fund Services, Middle Office, Fund Accounting and related data sets.
• Track record of successful data-related change in complex environments.
• Understanding of data management and analysis software packages.

Responsibilities

• Champion and align the Fund Services Data model to company Standards.
• Develop, model, and document data models for the Funds business.
• Design and build seamless and integrated data solutions with Technology.
• Provide insights and reports using data to stakeholders.

Skills

Data Architecture

Data Governance

Data Engineering

Data Modelling

ETL

Fund Services

Middle Office

Fund Accounting

Data visualization tools

Education

Bachelors/University degree

Data Architecture/Modelling qualifications

Tools

Kafka

Hadoop

Snowflake/Data Bricks

Job description

AVP/VP- Funds Data Lead, Fund Services, Investor Services

Job ID: 83735

Base pay range: $58.00/hr - $72.00/hr

Play an active role in the Fund Services Product Data Transformation team - owning, developing and maintaining the data model and data lifecycle to support the Funds, and wider Services business strategy.

Responsibilities:

• Champion, own and align the Fund Services Data model, within Funds Services and to company Standards
• Develop, model, and document the data models for the Funds business.
• Partner with Technology and Architecture to design and build seamless and integrated data solutions.
• Support planning, directing and coordination of day-to-day activities of running data programs within Fund Services
• Optimize how Funds uses data to provide insights and reports to internal and external stakeholders.
• Partners with Clients to understand and quickly respond to their data needs. Proactively seeks Client feedback to influence change throughout organization.
• Utilize data insights to support the business in decision making as well as planning and budgeting for key initiatives.
• Establish collaborative and productive relationships with product management, compliance, legal, technology, operations and other supporting teams.
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding the business, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Required Skills:

• 5+ years of experience in either Data Architecture, Data Governance, Data Engineering, Data Modelling, or ETL
• Strong experience in the Fund Services, Middle Office, Fund Accounting and related data sets
• Prior experience of successfully delivering data related change in a complex environment whilst managing competing priorities
• Track record of working in the data space with ISO standards and development of data solutions to solve problems.
• Have an understanding of a variety of data management and data analysis software packages, databases and data visualization tools.
• Familiarity with tools/platforms like Kafka, Hadoop, Snowflake/Data Bricks etc.
• Ability to effectively deliver under time pressure, clarifying ambiguity as needed to deliver against expectations.
• Ability to coordinate and tie break in complex and diverse organizations through Influence and develop strong relationships by driving value added change.

Education:

• Bachelors/University degree or equivalent experience
• Data Architecture, Data Governance, Data Engineering, Data Modelling qualifications would be advantageous.

Seniority level: Mid-Senior level

Employment type: Contract

Job function: Information Technology