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Head of Data Product

extra holidays - extra parental leave
Remote: 
Full Remote
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

5+ years in Product Management for data products, Knowledge of investing/private equity industry, Strong Excel, SQL, and data modeling skills, Familiarity with big data technologies and cloud platforms.

Key responsabilities:

  • Own strategy, development, and execution of data products
  • Collaborate with teams to optimize data accuracy and integration
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Sourcescrub Information Technology & Services Scaleup http://www.sourcescrub.com/
51 - 200 Employees
See more Sourcescrub offers

Job description

Data is at the heart of everything we do here at Sourcescrub and we are looking for a proactive and strategic Head of Data Product to lead our global data initiatives. Our Head of Data Product will play a critical role in shaping the next evolution of our data strategy, overseeing the development and execution of our raw data products, and ensuring alignment with our business objectives and applications product roadmaps. This critical role reports directly into our CEO and works closely with our Product and Data Engineering teams. 

About us 
Sourcescrub is a market-leading deal sourcing platform equipping dealmakers with the richest private-company insights and experiences, helping them discover, research, and connect with the companies that will drive their growth. Our platform combines comprehensive data with intuitive tools to streamline deal origination and market analysis.  

About you 

You are an experienced, thoughtful leader excited to take on the challenges that come with owning our Data Product. You enjoy being both a “player” and a “coach” and don’t simply wait for others to provide analysis but deep-dive yourself to get your questions answered. You understand data and see it as an asset beyond crawlers and are able to explore our data quality and relations.  

As our Head of Data Product, you will 

  • Own the strategy, development, execution, and budgeting for global data products, including leading the Product Owner role for Data Labeling, Data Platform, and Data Automation Ingestion 
  • Actively engage in the development and optimization of raw and derived data products, utilizing your product and technical expertise to drive projects forward    
  • Collaborate with Go-to-Market teams to provide input on materials and strategy regarding data accuracy, coverage, and freshness 
  • Oversee the acquisition and integration of data from diverse sources, including, but not limited to, data partnerships, public records, industry reports, financial filings, and company websites 
  • Design and implement innovative research and data collection methodologies, ensuring accuracy, efficiency, and scalability   
  • Identify hidden patterns and trends in the data to support client decision-making and strategic planning 
  • Establish and implement rigorous data quality measurement and control measures practices 
  • Conduct regular audits and data validation checks to maintain data accuracy and reliability and provide regular reporting to internal and external teams 
  • Document research methodologies and data sources to ensure transparency and facilitate future research initiatives 
  • Work closely with engineering teams to execute on data product roadmap 
  • Identify and implement new tools to enhance the efficiency and effectiveness of research operations 
  • Continuously explore and develop new data sources to stay ahead of the curve and provide clients with cutting-edge insights 
  • Proactively identify and anticipate client needs and deliver research solutions that exceed expectations 
  • Contribute to the development and execution of the overall research strategy for SourceScrub 

To be successful, you should have 

  • 5+ years of experience in Product Management for data-related products with some direct people and process management experience  
  • Extensive knowledge of the investing/private equity industry   
  • Experience designing and implementing research & data collection processes   
  • Strong Excel skills, experience with SQL and data modeling, ontology development, and data governance frameworks  
  • Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud) 
  • Knowledge of data privacy regulations (e.g., GDPR, CCPA) and their impact on data product development. 

Sourcescrub does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of Sourcescrub. 

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Problem Solving
  • Analytical Thinking
  • Collaboration
  • Leadership

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