Director of Analytics Product Management
Location: New York City Metropolitan Area (On-site/Hybrid)
New York City, NY
*Unfortunately, we are unable to sponsor at this time.
New opening for an experienced Director of Analytics to manage an 8 10 person team within a growing technology company. You will provide leadership for the delivery of Advanced Analytics to build better AL/ML models for our core Products. This team is critical to facilitate the connection between our Data Science, Engineering and Product teams. This is a cross-functional position managing a team of Product Data Analysts to deliver statistical data to our Product and Engineering teams.
Summary:
- Responsible for leading a 10-person team developing new statistical techniques, product strategy, automating analytics framework, and measurement to build cutting-edge classification products.
- Work closely with various data sources to streamline data for predictive, personalization, classification, and algorithm development.
- Have a proven track record of drawing insights from data and translating those insights into tangible business outcomes.
- Ability to work cross-functionally with Product teams, Data Science and Engineering.
- Recruit, motivate, mentor, and develop team members.
Experience Must Have:
- Minimum of 7+ years professional experience.
- 4+ years experience in Data Analytics.
- Experience in data science, statistical analytics, product analytics.
- Management of at least 3-4 direct reports is required.
- Experience in Product Management is preferred.
- Track record of team leadership, continual learning and attending conferences.
Nice to Have:
- Experience with computer vision, image classification, content moderation, classification, AI and artificial intelligence is strongly preferred/desired.
- Experience with Python, NLP, BigQuery, Looker, Tableau, Databricks and AWS.
- Excellent problem-solving and critical-thinking skills.
Education:
- Bachelors or Master s in Mathematics, Statistics, Biostatistics, Computer Science or similar degree in a quantitative field.
Benefits:
Medical, Dental, Vision (premiums fully covered)
HSA, FSA, Pre-tax Commuter, 401k
Flexible hours (Remote / Hybrid)
Conferences
Gym Reimbursement
Learning and Development Budget
...@tekvizor.com
keywords: analytics, strategy, product, AI, machine learning, data science, visualization, statistics