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Full-Time

Vice President

Business Intelligence / Data & Analytics

Posted on 10/22/2024

AlphaSense

AlphaSense

1,001-5,000 employees

AI-driven financial research platform for insights

Cybersecurity
AI & Machine Learning
Financial Services

Compensation Overview

$250k - $270kAnnually

+ Performance-based bonus + Equity

Senior, Expert

Remote in USA

Category
Data Management
Data Science
Data Engineering
Data & Analytics
Required Skills
BigQuery
Tableau
Data Analysis
Google Cloud Platform
Requirements
  • Bachelor's degree in Computer Science, Information Systems, Statistics, Mathematics, Data Science, or a related field. A Master's degree or MBA is often preferred.
  • 10+ years of experience in data and analytics, with a proven track record of leadership in a similar role, preferably within the SaaS or technology industry.
  • Experience managing and leading a high-performing data and analytics team.
  • Experience in a B2B SaaS environment
  • Proficiency in data warehousing, ETL processes, and BI tools
  • Strong understanding of data modeling, data architecture, and database design principles.
  • Knowledge of advanced analytics techniques, machine learning, and AI/ML concepts.
  • Strong strategic thinking and business acumen with the ability to align data initiatives with organizational goals and drive business value.
  • Experience in budget management, resource allocation, and ROI analysis.
  • Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights and recommendations.
  • Ability to understand what data is needed to drive relevant insights and how to collect that data.
  • Exceptional leadership and interpersonal skills with a track record of building, leading, and mentoring high-performing teams.
  • Ability to inspire and motivate team members, foster a collaborative culture, and drive excellence in performance.
  • Excellent verbal and written communication skills with the ability to effectively communicate complex data concepts and insights to non-technical stakeholders.
  • Strong presentation skills with experience presenting to senior leadership and external stakeholders.
  • Proven ability to collaborate and partner effectively with other departments (e.g., product, marketing, sales, finance) to understand their data and analytics needs and deliver tailored solutions.
  • Passion for innovation and staying abreast of the latest trends, technologies, and best practices in business intelligence, data analytics, and AI/ML.
  • Commitment to continuous learning and professional development to enhance skills and capabilities.
  • Strong commitment to data governance, data privacy, and compliance with relevant regulations (e.g., GDPR, CCPA).
  • Experience implementing and maintaining data governance policies and procedures.
Responsibilities
  • Evaluate and refine the existing data strategy to ensure alignment with the company’s evolving business objectives and growth plans. Strengthen data governance, architecture, and quality standards.
  • Enhance the existing analytics and data visualization capabilities by identifying opportunities for improvement. Develop and deploy advanced analytics tools, dashboards, and reports to provide deeper, actionable insights to stakeholders.
  • Assess and optimize the current data infrastructure and technologies (e.g., data warehouses, ETL processes, BI tools) to ensure scalability, reliability, and security. Implement enhancements as needed to meet the organization's growing data and analytics demands. BI stack includes (but not limited to) Stitch, GCP, BigQuery, dbt, Tableau.
  • Lead and mentor the existing data and analytics team, fostering a culture of innovation, collaboration, and continuous learning. Identify skill gaps and opportunities for professional development to elevate the team’s capabilities.
  • Collaborate closely with other departments (e.g., product, marketing, sales, finance) to understand their data and analytics requirements and deliver solutions that support their objectives. Serve as a strategic partner to senior leadership, providing data-driven insights and recommendations to inform decision-making and drive business growth.
  • In addition to cross-functional collaboration, you will be a thought leader and BI / Data & Analytics evangelist for AlphaSense, partnering closely with our Executive Leadership team to encourage and drive data-driven decision-making.
  • Establish and enforce data governance policies and procedures to ensure the company's data's integrity, accuracy, and privacy. Ensure compliance with relevant data protection regulations and industry standards.
  • Stay abreast of the latest trends, technologies, and best practices in business intelligence, data analytics, and AI/ML. Drive innovation and continuous improvement initiatives to enhance the company's data capabilities and competitive advantage.
  • Review and optimize the department’s budget, ensuring efficient allocation of resources and maximizing ROI on data and analytics investments.

AlphaSense provides a financial research platform that uses artificial intelligence to help clients gain insights into various companies, industries, and market trends. Users can search through a vast library of over 300 million documents, which includes both external and proprietary content. The AI technology streamlines the research process by automating repetitive tasks, allowing clients to concentrate on analyzing the information instead. Additionally, AlphaSense offers real-time monitoring of critical insights, helping clients stay ahead of market trends, which is especially important in a fluctuating economic environment. Unlike its competitors, AlphaSense is highly regarded for its focus on data security, employing advanced security measures to protect client information. The goal of AlphaSense is to empower clients to make informed decisions in their financial strategies, whether they are launching new products or providing insights to executives.

Company Stage

Series E

Total Funding

$770M

Headquarters

New York City, New York

Founded

2011

Growth & Insights
Headcount

6 month growth

18%

1 year growth

38%

2 year growth

57%
Simplify Jobs

Simplify's Take

What believers are saying

  • AlphaSense's $650 million funding round and $4 billion valuation reflect strong investor confidence and financial stability.
  • The acquisition of Tegus and the appointment of a new Chief Marketing Officer signal aggressive growth and expansion strategies.
  • AlphaSense's platform is trusted by top financial institutions and corporations, indicating a strong market position and potential for continued revenue growth.

What critics are saying

  • The integration of Tegus could present challenges in aligning company cultures and technologies, potentially disrupting operations.
  • The rapid expansion and high valuation may lead to increased scrutiny and pressure to deliver consistent financial performance.

What makes AlphaSense unique

  • AlphaSense leverages advanced AI to provide real-time insights from a vast library of over 300 million documents, setting it apart from traditional financial research platforms.
  • The company's strong emphasis on data security, including zero trust security models and secure data encryptions, ensures client trust in handling sensitive financial information.
  • AlphaSense's recent acquisition of Tegus significantly expands its content library and enhances its market-leading AI search technology, providing unmatched insights into both public and private companies.

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