# Solutions Lead, Consulting/Banking

**Company**: YipitData
**Location**: US Remote
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $170,000 - $200,000
**Category**: Consulting
**Industry**: Consulting

**Apply**: https://job-boards.greenhouse.io/yipitdata/jobs/8282078?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_04a3264d-0dd

## Description

YipitData is seeking a Solutions Lead to own relationships with leading Business & Consulting companies. The successful candidate will lead discovery with these accounts, connect their needs to YipitData's datasets and solutions, and act as a thought leader on Business and Consulting markets.

Responsibilities:

- Run discovery to understand priorities and how these enterprises engage with alternative data today

- Develop and offer insights tailored to specific teams/use cases

- Partner with Revenue on pitches, trials, & renewals, owning the solution side of each conversation

- Ensure data deliverables are coordinated with internal counterparts across engineering, data, and product

Requirements:

- 5+ years of experience working with consumer brands or technology firms in a client-facing analytical role

- A talent for data-driven storytelling

- Experience working with large Fortune 500 companies in the consumer or tech landscape

- Strong written and verbal communication, including presenting to executive audiences

What We Offer:

- Competitive salary ($170,000 - $200,000)

- Variable compensation with on-target earnings of up to $250,000

- Comprehensive benefits, perks, and equity

- Flexible work hours, flexible vacation, generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more

## Skills

### Required
- data-driven storytelling
- client-facing analytical role
- Fortune 500 companies

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/yipitdata/jobs/8282078?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)