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September 11, 2025

Life at Bigeye: Diane Worthington, People and Engagement Manager

5 min read

Diane Worthington
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Finding Her Way to Bigeye

Diane's path to Bigeye wasn't exactly linear, but sometimes the best stories aren't. After loving her startup life early in her career, COVID hit hard, her team was furloughed, then let go entirely. "No one was hiring, which meant recruiting jobs were scarce," she remembers. When opportunities finally started opening up in late 2020, she found herself choosing between a contract role at a popular at-home workout equipment company and a full-time position with a large data consulting firm.

She went with the safe choice, the full-time role, but her heart wasn't really in it. Then a Bigeye recruiter reached out, and everything clicked. "When I met with the team, I instantly knew I was onto something special. The excitement for and belief in the product was infectious." Three and a half years later, she's still here and still loving it.

Diane with friends and her adorable dog!

Building Something Special

As Bigeye's People & Engagement Manager, Diane's days are wonderfully unpredictable. She might be launching a new recognition program in the morning, organizing team events after lunch, diving deep into recruiting conversations, or brainstorming ways to help the team connect and grow together. It's the kind of role that lets her wear many hats, and she wouldn't have it any other way.

What she's most proud of? "Building the team we have today," she says, though she's quick to call it cliche coming from someone in recruiting. "Hiring here isn't just about filling roles, it's about finding people who make each other better, who elevate the work and the experience of doing it." Every person they've brought on has added something unique to Bigeye, and watching it all come together into something genuinely special never gets old.

Since joining, her role has evolved beyond just recruiting. "I still love finding great people to join our team, but now I also get to focus on what happens after they join. Things like engagement, internal programs, and helping shape how we celebrate and support each other." It's been exciting to help build an experience that feels as great on the inside as it looks from the outside.

The Bigeye Difference

Ask Diane to describe the Bigeye culture, and she lights up. "The team is collaborative, ego-free, and fast-paced. But what really stands out is how deeply aligned we are. Everyone is pushing in the same direction, with a shared commitment to building something great."

There's a real sense of ownership and trust here, she explains. People are empowered to make things happen, support one another, and celebrate wins along the way. "It's the kind of culture where you feel both challenged and supported, and where success genuinely feels like a team sport."

Life Beyond the Screen

Diane's mornings are sacred. She starts with a podcast, puts on calm music, does her skincare routine, lights some incense for meditation, and (after coffee, of course) plays "all of the games" on her phone. "Does anyone over the age of 12 still play Clash of Clans besides me?" she laughs.

Her daily smoothie is non-negotiable: bananas, spinach, mint, vanilla protein, and almond milk. "I love fruit and could eat it all day," she says. When it comes to unwinding after work, you'll find her putting on music and cooking. She's a big rap fan (especially anything featuring Denzel Curry), though evenings usually call for indie mixes or chill jazz.

Living in Philadelphia means she walks everywhere, and weekends ideally start with a good workout or yoga class, followed by long walks around the city. She loves hosting friends for dinner and drinks at home, then getting to bed early to feel refreshed for the week ahead.

She loves travel, too. One of her favorite memories was visiting Amsterdam with a friend, staying in an Airbnb where the owner wore the same Hawaiian shirt and linen pants every day. His art studio was on the first floor, his home was covered in travel memorabilia, and he had the best stories. They made friends with the bartenders next door, visited daily to chat with locals, and got matching tulip tattoos from a little off-the-path parlor. "So much fun!"

Diane on her travels and visiting with friends.

The Little Things

What instantly puts Diane in a good mood? "Watching my dog sleep (is that creepy?), an iced coffee, seeing new growth on my plants, spending time with the people I love." Currently, she's obsessed with Severance and needs season 3 immediately.

Fun fact: Over the years Diane has played the flute, guitar, and briefly, piano. Her favorite Slack emoji is the side-eye đź‘€ (naturally), and her workday soundtrack is usually those YouTube lo-fi beats that keep her focused and in the zone.

Want to join Diane and the Bigeye team? Check out our open positions and see what makes our culture so special.

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Resource
Monthly cost ($)
Number of resources
Time (months)
Total cost ($)
Software/Data engineer
$15,000
3
12
$540,000
Data analyst
$12,000
2
6
$144,000
Business analyst
$10,000
1
3
$30,000
Data/product manager
$20,000
2
6
$240,000
Total cost
$954,000
Role
Goals
Common needs
Data engineers
Overall data flow. Data is fresh and operating at full volume. Jobs are always running, so data outages don't impact downstream systems.
Freshness + volume
Monitoring
Schema change detection
Lineage monitoring
Data scientists
Specific datasets in great detail. Looking for outliers, duplication, and other—sometimes subtle—issues that could affect their analysis or machine learning models.
Freshness monitoringCompleteness monitoringDuplicate detectionOutlier detectionDistribution shift detectionDimensional slicing and dicing
Analytics engineers
Rapidly testing the changes they’re making within the data model. Move fast and not break things—without spending hours writing tons of pipeline tests.
Lineage monitoringETL blue/green testing
Business intelligence analysts
The business impact of data. Understand where they should spend their time digging in, and when they have a red herring caused by a data pipeline problem.
Integration with analytics toolsAnomaly detectionCustom business metricsDimensional slicing and dicing
Other stakeholders
Data reliability. Customers and stakeholders don’t want data issues to bog them down, delay deadlines, or provide inaccurate information.
Integration with analytics toolsReporting and insights

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