Dan Raz Email & Phone Number

New York, NY, US

Seattle, WA, US

I am a single threaded leader for a new brand advertising initiative. In this role, I obsess over helping advertisers reach their upper funnel goals. Previously, I developed performance-first, machine-learning (ML) solutions that work with and without user identity. I also worked on user's ad response prediction, with a particular focus on.

New York, New York, US

In 2019 I was tasked to lead a 10-member global Agile team (Product Managers, Analysts, Taxonomists) and oversee a suite of five supply chain products that register, manage, analyze, explore, and distribute Viacom intellectual properties (IP) across 30+ brands and 170+ networks (700M subscribers globally). My day-to-day role included facilitating.

New York, NY, US

• I was promoted to lead a 20-member organization (product, engineering, content, taxonomy) tasked with identifying cost savings and new revenue opportunities for Viacom’s video IP through machine learning (ML). This.
• Led development of a tool used to prepare videos for third-party distribution that reduced costs by $3M annually and improved distribution turnaround by 80%.
• Partnered with ML start-ups, top enterprise providers, and research universities to benchmark state of the art offerings and influenced their roadmaps to meet Viacom’s objectives.
• Instituted a governed Viacom-wide data model and content description lingua-franca through creation of an 8K term/62K synonym taxonomy that promotes integrations, content discovery, and data sharing between.
• Experimented with crowdsourcing to enrich and validate essential data points and reduce reliance on manual curation and supplement ML techniques. The approach is comparable to experts at 50% of the cost and dramatic.
• Combined ML from off-the-shelf video/text analysis tools and manual human curators to deconstruct content and identify moments that resonate with viewers. Oversaw human curation teams in viewing and marking-up content.

New York, NY, US

• I was hired as a Product Manager and promoted to the Director role in 2015. As Director, I managed a portfolio of products that ingest, manage, catalog, integrate, and serve consumers both owned and licensed content.
• Spearheaded development of new functionality for bespoke CMS to meet the unique publishing needs of Viacom’s digital experiences and syndication partners (>90M queries/day, ~700 consumer outlets/partners served)..
• Increased digital consumers’ engagement by introducing ability for consumers to localize content. The feature was activated by 30% of international digital users upon launch.
• Expedited app launches by 60% through integrations of supply chain systems and automation. Used Omniture consumer behavioral analytics tools to provide data-driven content strategy.
• Managed product owners responsible for two critical products, Noise (manages ingests, legal rights, encoding, and distribution of ~500K music videos/metadata to digital consumer outlets) and Global Content Catalog.

New York, New York, US

• In this role, I served as Product Manager for an analytics platform that processed data from 4M patients and $1.4B in transactions.Project highlights:
• Implemented one of the largest clinical analytics platforms in the US. Collected pain points from clinical stakeholders across all departments and worked with EMR technical implementation team to balance system.
• Reduced financial reports production time by 66% and billing charge lag by 75%. Supervised three data analysts and automated compilation of data points by implementing Cognos warehouse and reports.

New York, NY, US

At GA I taught product methodologies to 40+ bootcamp students in two, 10-week course offerings. Classes were typically ~20 students and topics included market analysis, building a business case, building & managing a roadmap, specifications gathering, feature prioritization, user stories, wireframes, storyboards, usability, and Agile development.

Satellite Beach, Florida, US

• Word of mouth of my technical and product skills got me into some freelance work.Highlights:
• Developed a speech-to-text system to transcribe class notes for students. System was entered into entrepreneurship competition at Harvard Business School.
• Developed a general purpose, fully customizable computer-based-learning system that allowed administrators to design multimedia-based questions+answers, and calculate individuals' scores. System was submitted as part.

New York, NY, US

At Columbia Law, I wireframed, designed, and implemented multi-tiered web applications, databases, and reports. Project work included an internship-matching app and an internal social network (pre-Facebook), primarily built using a Java stack (JSP, Servlets, Struts 2, Hibernate, Oracle, Informix) and JavaScript.

Cofounders and I executed on a plan to optimize the queue at the doctor's office / urgent care facilities based on patients' symptoms, perceived severity, and medical staff's real-time availability. I was responsible for overseeing the implementation of a full-stack prototype that utilized Bayesian statistics.This resonated with some industry leaders.

New York, NY, US

Studied computational methods for large-scale genome analysis. (e.g., Hidden Markov Models, Maximum Likelihood Estimation, etc.)

Tel Aviv, IL

Unit 8200 is a leading technical intelligence agency worldwide and stands on a par with the NSA in everything but scale. I served as a programmer on a Rapid Application Development (RAD) team aiming to solve targeted, mission-specific challenges. Projects' development timelines ranged from a few weeks to several months of development. The tech stack.

Ba, Computer Science

Leading Through Financial Excellence

Ma (Incomplete) Biomedical Informatics, Computational Genomics