Product Manager for Alt Data efforts. 
Sit on their data eng tram working closely with DS as aprt of broader research effrot.
high level goal - serve in ebwteen the DS and engineers to deribve alt dat projects forward. Taking Ds ideas and making them froma reseaqrch persective to actionalbel data eng 

big BA piece of the jonb - testing befores release data piepleines, 
project mgmt too - spring planning, satnds ups, contrnbuting to more strategic qualtertly plannign process 
alot of multi tasking - team of 10 DS - team is more feederated so working with all 10 DS. big dat quality piece - over 150 data pipelines alot ar workign w external thrid party vendors. can corodnate w vendors that the data is accurate 
knowledge mgmt - documentaiton, making sure end users on DS team know in and out about the data. 

alt data eng split in between travis team - building tools an the other half bilding pieplines / data platform. 


Tech?
xpeirence in daa tarelated or anlytical role - data anlsyt or tech consiltant 
Sql - most important (u will get Q about sql daily whcih u will find in data from sql in data warehouse 
experience w jira is a + -to manage sprints 
expeirence w tableaue or other BI / data visaliation tools is useful 
Financial servcies exp a + cuz its fast paced demadning envrionment 
need a high intesity culture - jigjh expecations of respinsiveness - getting a ton of requests from ppl. here u r pulled im ,amy directiomns.
DS - main stakeholders 
Alt Data 

USP? Bessie been here for 4 yrs. team has dobled in size and the work was lot of the rtaditonal data pieplene work andn ow buildign anlytics tools and softeware too. bring on someone to supoort this impotrant part of the work thats strategic. Gives u a window into the inv research / process side. Tske reswarch work DS are doing and translating whatthey are doing into something build to last to scael to man ydifferent sectors and names. 

DS are sector aligned that are sepcialzit in comsuemr tmt and healthcare and this role works across all of them. i.e we have a data pieloune that we build for healthcare team that is now using for priv investmnt team so this kind of stuff u canadd value. 

moderntech stack?
snowflake, dagster, dbt.
reports into bessie. 




 

Technology Product Manager

LOCATION: 660 Fifth Avenue, New York, NY (in-person attendance required)

JOB FUNCTION

The Technology Product Manager is a member of the Investment Data Engineering team and is primarily responsible for driving rapid delivery of thoughtfully curated and trustworthy data pipelines to support investment research using alternative data. The role partners closely with data scientists to shape their ideas into clear, actionable specifications, translates those into technical requirements for data engineers to implement, and manages the project team to plan. This position requires a strong intuition for data quality, a background working in data-related or other analytical roles, superior organizational and communication skills, and a passion for contributing to data pipelines used to generate actionable investment insights.

 RESPONSIBILITIES

 Responsibilities may include, but are not limited to:

• Partner with data scientists to shape analytical ideas into clear data pipeline specifications. Gather use cases, align on solutions, and translate into actionable requirements for data engineering team.
• Play a key role in launching data pipelines by thoroughly validating results against requirements.
• Develop a deep understanding of the team's alternative datasets. Serve as the subject matter expert for data scientists to answer questions about capabilities of the data.
• Investigate, understand, and resolve the root cause of data quality issues through communications with external vendors and internal stakeholders. Analyze issues to identify trends over time.
• Understand and implement data scientists’ priorities in the short (weekly) and long (quarterly) term.
• Lead data engineering team status meetings, including daily stand-ups and weekly sprint planning.
• Manage the data engineering team’s portfolio and reporting of pipelines.
• Contribute to and enforce best practices related to task management and project reporting.
• Maintain spaces for knowledge-sharing across the data team to ensure information about how the data should be used, limitations, and context is well-documented and accessible.

 QUALIFICATIONS

The ideal candidate will have:

• 4+ years of relevant experience working in an analytical or data-related role
• A bachelor’s degree with a record of academic success
• Proficiency in SQL
• Experience with project management tools (e.g., Jira, Asana), business intelligence / data visualization tools (e.g., Tableau, PowerBI, Looker), and data build tool (dbt) preferred
• Experience navigating cloud data warehouses (e.g., Snowflake, Redshift, BigQuery) preferred
• Experience in the investment management or financial services industry preferred

 The ideal candidate will possess the following traits:

• Analytically-minded: Strong intuition around data quality, structure, and practical applications. A willingness and ability to engage deeply with the data to uncover insights and resolve challenges when needed.
• Strong communicator: Excellent written and verbal communication skills, with the ability to tailor messaging and technical depth to diverse audiences.
• Process- and detail-oriented: Adept at juggling multiple, competing priorities and managing a project team to plan. Superior organizational skills.
• Accountable: Committed to delivering high-quality work and driving project teams to do the same.
• Collaborative: Comfortable with and enjoys working as part of a team.
• Intellectually curious: Interested and eager to learn about new topics and technologies to solve individuals’ frequently evolving data needs.

The base salary range for this position in New York City is $150,000 to $200,000. In addition to base salary, Viking employees may be eligible for other forms of compensation and benefits, such as a discretionary bonus, 100% coverage of medical and dental premiums, and paid lunches. Actual compensation for successful candidates will be individually determined based on multiple factors including, but not limited to, a candidate’s skill set, experience, education, and other qualifications. For more information on our benefits, please visit www.vikingglobal.com/life-at-viking/  

 Viking is an equal opportunity employer. Questions about your candidacy and requests for reasonable accommodation in the recruitment process should be directed to recruiting@vikingglobal.com.