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Posted on: 18 May 2024





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Director of Data Strategy

About Allocate:

We founded Allocate with the simple mission of making investing in top-tier private alternatives within the technology sector more accessible for a broader set of investors. We believe that the mark of healthy and efficient markets requires the financial inclusion of all qualified market participants. However, despite significant demand, investing in private technology-focused alternatives is more complex than ever as discovery, investment diligence and selection, access, and deal execution all serve as substantial roadblocks. With Allocate, investors can find, invest (through Allocate SPV feeders), and track highly vetted opportunities through our turnkey digital platform in a single easy-to-use interface.

Job responsibilities:

Allocate is seeking a Director of Data Strategy to architect and execute a data-driven framework that enhances our platform's capabilities in the venture capital and private equity spaces. This leadership role will focus on harnessing data to improve investor experiences, optimize operational decisions, and deliver robust analytical insights. The ideal candidate will possess deep industry knowledge, excellent managerial skills, a proven track record in strategic data management, and the ability to roll up their sleeves to execute their strategy.

Responsibilities include (but would not be limited to):

  • Strategic Leadership: Develop and implement a comprehensive data strategy that aligns with Allocate's business goals, focusing on enhancing user experience and operational efficiency.

  • Data Governance: Establish and oversee data governance practices to ensure data accuracy, consistency, and security across the platform.

  • Team Management: Lead and expand the data strategy team, ensuring high performance, continuous skill development, and alignment with overall business objectives.

  • Analytics and Insights: Drive the development of analytics tools and methodologies to better understand customer behaviors, investment trends, and market opportunities.

  • Cross-Functional Collaboration: Work closely with product, engineering, and executive teams to integrate data strategy with product development and corporate strategy.

  • Industry Expertise: Maintain a strong understanding of venture capital, private equity, and startup ecosystems to effectively tailor strategies that meet investor needs.

  • Performance Metrics: Define and track key metrics to assess the effectiveness of data strategies in achieving business goals.





  • Required Experience: Minimum of 10 years in data strategy or related fields, with at least 5 years in leadership roles.

  • Industry Knowledge: Extensive experience in VC, PE, or startups with a clear understanding of the industry dynamics and challenges.

  • Technical Skills: Proficiency in data management tools and platforms, with a solid foundation in analytics and performance metrics.

  • Management Skills: Strong leadership and organizational skills with the ability to manage multiple projects and teams simultaneously.

  • Communication: Excellent verbal and written communication skills, capable of effectively articulating data strategy and value to stakeholders at all levels.

  • Regulation: Experience with regulatory compliance and data privacy in financial services.

  • Proven track record of successful project management and strategic implementation.

  • Ability to innovate and think creatively to solve complex problems.



  • Data Management & Analysis: Proficient in SQL for querying and analyzing relational databases. Experienced with data warehousing solutions (e.g. Amazon Redshift, BigQuery, Snowflake) and data lake technologies (e.g. Apache Hadoop, Spark). Skilled in data integration and ETL tools (e.g. Apache Airflow, Talend).

  • Advanced Analytics & Visualization: Strong background in BI and data visualization tools (e.g. Tableau, PowerBI). Knowledgeable in programming languages (e.g. Python, R) for advanced data analysis, statistical modeling, and machine learning tasks. Familiar with machine learning tools (e.g. TensorFlow, scikit-learn).

  • Cloud & Data Governance: Expertise in operating in cloud platforms (e.g. AWS, GCP, Azure). Solid understanding of data governance frameworks, data privacy regulations (GDPR, CCPA), and data security best practices.



  • Bachelor's degree in Data Science, Computer Science, Economics, or related field;

Essential Values & Culture

  • Providing our clients with a world-class experience is our number one priority. We obsessively search for ways to improve the experience for our clients and partners. This requires extraordinary response times, proactivity, and ensuring that everything we do, from product strategy to offline communications, is a top-tier client experience.
  • Challenge convention: Instead of detailing why an idea may not work, we constantly question things to determine how a viable idea may be put into motion.
  • Commitment to continuous improvement: We find ways to personally scale each day by pushing ourselves up the learning curve.
  • Meritocracy, not politics: We place the utmost value on results and rewards through merit, not reward actions driven by political agendas or behavior.
  • Civil Discourse is embraced: We believe open, intellectually curious conversations are required to make the best decisions. Respect is paramount in our dealings, but our mission is always to get the right answer collectively, not to be right.

Additional Details:

  • US remote position (SF Bay Area, New York, or Boston area preferred)
  • A broadband internet connection is required
  • Seniority: 10+ years of experience
  • Location: All US candidates will be considered
  • Reporting to senior management
  • Salary: $170k-$200k base + bonus + equity
  • Benefits: Medical, dental, vision, responsible time off (RTO), 401k
  • Employment: Full-time
  • This role will be subject to Allocate's Code of Ethics and related compliance obligations of Allocate


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