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Analytics Engineering Manager - Vice President

New York, NY, United States

iCapital is powering the world’s alternative investment marketplace. Our financial technology platform has transformed how advisors, wealth management firms, asset managers, and banks evaluate and recommend bespoke public and private market strategies for their high-net-worth clients. iCapital services approximately $179 billion in global client assets invested in 1,445 funds, as of January 2024. 

iCapital has been named to the Forbes Fintech 50 for seven consecutive years (2018-2023); a three-time selection by Forbes to its list of Best Startup Employers (2021-2023); and a three-time winner of MMI/Barron’s Solutions Provider award (See link below).  

 

About the Role:

We’re looking for an Analytics Engineering Manager, Vice President to measurably drive growth for our business teams at iCapital using data. This role would involve managing a team of analytics engineers, working with business stakeholders to define project requirements, and finally developing and executing on implementation plans.

This role involves both management and individual contribution. You will be expected to work with various department leads (e.g. sales, marketing, finance, product, operations), understand their pain points and business processes, and ultimately develop data-driven solutions to solve their needs.

These solutions span data ingestion, centralization, governance, business intelligence and machine learning. While you will have a team to assist you, you are also expected to be heavily involved in all technical details of the project. While not all of our work directly involves software engineering, almost all of it is heavily informed by software engineering principles.

The actual outputs of our work can be: clean and well-governed data models, management dashboards, exploratory/statistical data analyses (with attendant recommendations), documentation, machine learning models, or data apps.

You will sit in the Analytics group of the broader Data Office team and work closely with our Data Engineering and Data Science teams. On the technical side, you will interface with our entire data stack of Airbyte, Snowflake, dbt, Prefect, Python, Tableau and SageMaker (among others). On the business side, you will work with our sales, marketing, operations, product and finance teams to drive top-line growth metrics (e.g. sales, usage, conversion).

This is a technical role where you will be writing code. Ideal candidates will be able to understand complex business problems, interface with senior stakeholders, develop execution plans, implement all aspects of the project technically, and finally present on their work.

Responsibilities:

· Manage of team of analytics engineers in project scoping, unblocking technical challenges and ensuring timely delivery of work

· Drive projects to completion by gathering business requirements, implementing technical solutions, following software engineering best practices, and finally presenting on results

· Write Python and SQL (in dbt) to extract, transform, validate, and aggregate data

· Create Tableau dashboards for various business teams, charting key metrics and performing exploratory data analysis

· Develop statistical models, machine learning models and construct data-driven experiments

· Convert data insights into concrete, action-oriented and phased execution plans that measurably grow various business metrics over time

· Work closely with our engineering, product and business teams to form a thorough understanding of our industry and evolving data model

Required Qualifications:

· Bachelor’s degree or higher in Computer Science, Economics, Mathematics, Statistics or a related technical field

· 5 to 9 years of experience in a data-related role

· Excellent writing, communication and presentation skills

· Excellent knowledge of SQL (dbt experienced preferred)

· Excellent knowledge of Python, Pandas and statistics

· Excellent knowledge of data modeling, relational databases, normalization, OLAP stores

· Good knowledge of data science techniques and machine learning models

· Good knowledge of a business intelligence tool (e.g. Tableau, Looker, PowerBI)

· Good knowledge of data governance principles, data stewardship, traceability, lineage

Preferred Qualifications:

· Prior experience with managing teams and end-to-end projects

· Prior experience in the financial services and alternative investments

 

Benefits 

The base salary range for this role is $150,000 to $190,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). 

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office four days, with the flexibility to work remotely on Friday.  Every department has different needs, and some positions will be designated in-office jobs, based on their function. 

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ 

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. 

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