E32 Glenn Hofmann, Chief Analytics Officer at New York Life Insurance

Today’s guest is Glenn Hofmann, Chief Analytics Officer at New York Life, one of America’s largest mutual life insurance companies. For over 175 years, New York Life and their subsidiaries provide insurance, investment and retirement solutions. They believe in the importance of human guidance and intrusted relationships built on being there when customers need them most.

Glenn is an experienced Senior Executive in Insurance and Financial Services, who currently leads the corporate 50-person Data Science and AI function at New York Life. He is responsible for the foundations, relationships with many internal groups and a great variety of projects. He also leads their Data Science Academy, their internal education program for all New York Life employees.

In the episode, Glenn will discuss:

What he loves about his role at New York Life,

How he helped the company embrace a data-driven culture,

Exciting projects they are working on within the insurance industry,

Creating a successful data science team,

How to stand out in the job application process,

and Key learns in transitioning into a leadership position.

E31 Paul Brenner, Head of Data Science at PlaceIQ

Today’s guest is Paul Brenner, Head of Data Science at PlaceIQ where he defines the role of data science within the company. Paul ensures the team works on the most impactful projects, finds new ways that they can build new products that will fulfil their client’s needs and helps promote education within the organization to keep PlaceIQ ahead of the competition.

Based in New York, PlaceIQ powers critical business and marketing decisions with location data, analytics and insights. Companies can uncover opportunities within the consumer journey by learning about and connecting with location-based audiences, measuring real-world ROI, and applying insights that drive intelligent marketing and successful business outcomes.

In the episode, Paul will discuss:

How he helped grow the Data Science function at PlaceIQ,

The different paths available for Data Scientists,

Advice on deciding when to apply Machine Learning in your business,

What to consider when making your next career move,

Building a high-performing data science team,

and His top interview tips.

E30 Bob Bress, VP of Analytics and Business Intelligence at Freewheel

Today’s guest is Bob Bress, VP of Analytics and Business Intelligence at Freewheel. Bob is an Analytics leader with 15+ years of experience in developing and implementing complex analytical solutions for leading-edge technology and advertising programs. He is an expert in building Data Science and Business Intelligence teams from the ground up.

Freewheel empowers all segments of The New TV Ecosystem. They power the technology, data enablement, and convergent marketplaces required to ensure buyers and sellers can transact across all screens, across all data types and all sales channels, in order to ensure the ultimate goal in gaining the best results for marketers.

In the episode, Bob will discuss:

Freewheel’s current projects within TV advertising

What he loves about his job

How to add real business value through data science

Key traits to have for a successful data scientist

Building a successful data science team

Advice on how to interview more effectively

Future trends in media & advertising that excite him