Match score not available

Data Solution Consultant - AMER

extra holidays - extra parental leave

Remote:

Full Remote

Contract:

Freelance

Experience:

Senior (5-10 years)

Work from:

United States

Offer summary

Qualifications:

5+ years in data management or analytics, 5+ years in software sales (PC insurance preferred), Experience with relational database systems, Knowledge of core PC applications and predictive modeling.

Key responsabilities:

Support the sales team as a technical authority
Conduct presentations and workshops for customers

Guidewire Software Large https://www.guidewire.com

1001 - 5000 Employees

See more Guidewire Software offers

Job description

The Opportunity

Do you believe that data and analytics can drive better outcomes and help make better decisions? Do you believe the democratization of data is core to your identity? Do you embrace data and love working with it and explaining the benefits of looking at and using data in new and exciting ways?

If you are ready for a new challenge, join Guidewire as a Data Solution Consultant!

We are looking for an experienced data technologist to engage with some of the largest property and casualty insurance companies in North America and advise them on Guidewire’s innovative Data Platform with its purpose-built P&C insurance data model and repository providing curated historical data modeled for the P&C industry, with one unified view and automated raw change data processing.

During strategic sales events, you will articulate Guidewire's vision and craft sophisticated solution demonstrations while leading data-centric discussions that outline Guidewire Data Platform's holistic benefits and relationship to Guidewire Analytics, notably Explore.

A successful Solution Consultant works side-by-side with our customers and prospects to find the right solution while ensuring that our product management and engineering staff are kept abreast of product strengths and weaknesses. This position requires a unique blend of insurance industry knowledge, core application technical knowledge, communication, presentation and demonstration skills, and a passion for data access, delivery, and organization.

You will work in tandem with the sales executives to actively sell Guidewire's capabilities, with a focus on Data Platform and Explore. Our compensation structure provides a significant team bonus for achieving and exceeding objectives. Within the team bonus structure, we reserve a pool to reward outstanding individual contributions.

Note: 35 - 50% travel is required for this role in the US and Canada, with some week-to-week variance.

Guidewire promotes flexible working practices to strive for a work-life balance.

Key Activities

Supporting the sales team as an authority on the technical and business aspects of our data platform and related analytics solutions throughout the sales cycle

Serving as a pre-sales technical point-of-contact for customers and prospects

Conducting presentation and workshop sessions, both remote and in-person, outlining how Guidewire’s capabilities align with a customer’s broader ecosystem in a consultative approach

Responding to requests for information or proposal (product sections)

Partnering with clients' business and technical teams to ensure business objectives and requirements are met

Identifying new platform requirements and collaborating with Product Management to craft solutions for those requirements

Occasionally representing Guidewire for speaking engagements at trade shows, conferences, and industry meetings

Desired areas of expertise:

5+ years demonstrated ability in data management and/or analytics field, either wrangling, modeling, or handling data

5+ years software sales experience (P&C insurance preferred)

Experience within the insurance domain (P&C insurance in particular)

Experience with core P&C applications (InsuranceSuite in particular)

Familiarity with predictive modeling, machine learning and ChatGPT

Validated experience with relational database management systems (Oracle, SQL Server Postgres), logical and physical data modeling, ETL, data warehousing, modern data technologies (Kafka, S3, Parquet, Snowflake, ThoughtSpot, etc.)

Demonstrable experience with SQL and SQL-based tools such as Tableau

Experience with geospatial data and systems

General knowledge of enterprise software technologies (Java, Bitbucket, TeamCity, Kubernetes, Datadog, Delphix, AWS, etc.)

Experience presenting to departmental leaders and senior customer executives

Confirmed ability to understand business process needs and to conceptualize which requirements are satisfied through our solutions

Tech-savvy and should learn quickly and adapt to the use of new tools