BlackRock Director, Digital Product and Engagement Analytics in New York, New York

BlackRock helps investors build better financial futures. As a fiduciary to our clients, we provide the investment and technology solutions they need when planning for their most important goals. As of March 31, 2018, the firm managed approximately $6.317 trillion in assets on behalf of investors worldwide. For additional information on BlackRock, please visit | Twitter: @blackrock at | Blog: | LinkedIn: .

Job Description:

Team Overview

BlackRock’s Global Digital Wealth Group’s core mission is to accelerate our efforts to deepen our relationships with wealth management partners through technology and data science. Our digital products – including iRetire, FutureAdvisor, and our partners iCapital and Scalable Capital – are reaching tens of thousands financial advisors and millions of end investors. We view our Digital Wealth group as central to BlackRock’s future and as a strategic asset to transform the Wealth management industry.

Job description

We are seeking a high-energy, mature, inquisitive, and commercial analytical leader who is excited to work in a dynamic, fast-paced entrepreneurial environment that will be the future growth engine for the world’s largest asset manager. As a member of the Digital Wealth leadership team, the new leader will be responsible for build our data-driven decision making capabilities across our full range of digital products globally (including all of our web properties) and engagement strategies (including sales and digital marketing).

Key Responsibilities:

  • Develop the language of measurement, methodology and consistent analytical framework for all of our digital wealth properties (including our public web properties)

  • Generate insights to support decision making across our sales teams, marketing/digital marketing and portfolio solutions groups

  • Partner with digital product development teams to inform and shape our product development roadmaps

  • Partner with our digital engagement teams to define and optimize engagement tactics and drive product adoption (e.g., understand adoption bottlenecks, conversion points, AB testing, personalization)

  • Define executive metrics measurement and insights. Define process to set goals and measure progress towards them

  • Innovate and bring in cutting edge analytical tools, techniques and data visualization capabilities

  • Coordinate with our technology & data platform teams to ensure our infrastructure supports all key analytical needs

  • Become of a strong leader in BlackRock’s vibrant data science community

Minimum Skills and Qualifications:

  • BS/BA Degree in Computer Science, Statistics, Mathematics, or quantitative field

  • 10+ years of relevant work experience in data analysis or related field. (e.g., as a statistician / data scientist / quantitative researcher, head of analytics)

  • Experience in a commercial role and/or management consulting at a top firm strongly preferred

  • Commercial and strategic mindset; strong business acumen

  • Strong teamwork, partnership and influencing skills, EQ, empathy and humbleness

  • Excellent communication skills, both verbal and written

  • Demonstrated ability to work towards strategic goals in a fast-paced environment

  • Cutting-edge technical skills and experience with modern analytic techniques, tools and data visualization packages

  • High degree of familiarity with web analytics, SQL, relational databases Python, R, Java, or similar languages

  • Curiosity and interest in the application of machine learning, recommendation systems, natural language processing, computer vision, pattern recognition and artificial intelligence

BlackRock is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.

BlackRock will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the law, including any applicable fair chance law.