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FiscalNote

Lead Product Manager, Data Engineering

Posted 3 Days Ago
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
The Lead Product Manager will oversee data products, align the data acquisition roadmap with the product vision, and advocate for data-driven customer value.
The summary above was generated by AI
About the Position
We are looking for a Lead Product Manager to take ownership of our data products at FiscalNote. With the developments in AI how data is acquired and what value can be created with the data has changed. There are more opportunities to acquire data more efficiently and more ways to create customer value with it. You will play a crucial role in transforming our data operations, aligning our data acquisition roadmap with the overarching product vision, and advocating for the strategic use of data to enhance user experience.
 
About the Product Team
As a product-led company, the Product team at FiscalNote is where the magic happens. The team includes product management, project management, data products, and professional services. Product works to understand customer and market needs and to design and deliver world-class solutions that meet those needs. If you want to work in a highly engaged and collaborative environment to solve emerging challenges, Product at FiscalNote is for you.

About You
You understand the journey from getting data, to organizing and transforming it, and then using it to power customer experiences. You also understand product management: how to make trade-offs, how to communicate with engineers and stakeholders, and most importantly that the customer comes first.  You don’t like writing long specs; you like getting things done. Last but not least, you have a demonstrable track record of delivering successful outcomes.

#LI-HR1

What To Expect in This Position

  • In this Position You Will Be Expected To:
  • Understand the customer: conduct customer and stakeholder interviews to understand motivations, needs, and strategic data opportunities.
  • How does data get us to the vision: Align and manage the company’s data acquisition roadmap to meet our overall product vision. 
  • Highlight user-facing opportunities: Facilitate a two-way street with application development teams, identifying and advocating for data sets valuable to customers.
  • Operate efficiently: Make good use of AI to create efficiencies and deliver value to customers.
  • Make good use of third parties: Evaluate, select, and manage third-party vendors for data acquisition and integration projects.
  • Manage up: Monitor and communicate project progress, risks, and blockers to senior leadership.

What Sets You Apart

  • 5+ years of technical product management experience, preferably with data and AI product ownership.
  • Proven success in managing complex, multi-stakeholder projects from conception to delivery.
  • Strong collaboration and communication skills with technical and business partners.
  • Experience in evaluating and integrating external data vendors and sources with technical literacy in data engineering.
  • Demonstrated ability to set priorities, make tradeoffs, and focus teams on high-value outcomes.
  • Ability to prototype in Figma or code to demonstrate potential data-driven value for clients.
  • Client-focused approach, understanding data needs and connection with client objectives.
  • Willingness to learn about policy with the ability to interface effectively between engineers and business teams.

Excited about this role, but don't meet 100% of the expected qualifications listed above? We'd still love for you to apply! 
When applying to FiscalNote, rest assured that your application is reviewed by a living, breathing human being and evaluated based on key competencies needed for success in the position. Our Recruiting team maintains awareness of all open roles which means your application may be assessed against multiple positions and we will reach out to gauge your interest in other opportunities as appropriate. Questions or concerns? Contact recruiting.team@fiscalnote.com, we'd be happy to connect!

As part of FiscalNote's commitment to creating an accessible and inclusive hiring process, we strive to provide reasonable accommodations for persons with medical conditions or disabilities that will enable their access to the hiring process. If you need an accommodation, please send an email to recruiting.team@fiscalnote.com to let us know the nature of your request.

About FiscalNote 
FiscalNote (NYSE: NOTE) is a leader in policy and global intelligence. By uniquely combining data, technology, and insights, FiscalNote empowers customers with critical insights and the tools to turn them into action.

Home to CQ, FrontierView, VoterVoice, and many other industry-leading brands, FiscalNote helps organizations stay ahead of political and business risk.

At FiscalNote, We Lead with Values
Know your Audience ∙ Find the Truth ∙ Drive Alignment ∙ Level Up ∙ Own the Job ∙ Bias for Action ∙ Support the Family 

Company Benefits
FiscalNote supports our people by enabling team members with flexibility and benefits to promote well-being and balance, ensuring all FiscalNoters can bring their authentic selves to work. We start by offering competitive salaries, retirement accounts, and equity packages to ensure we’re all FN owners. Plus, our comprehensive benefits packages align with regional requirements and expectations no matter where you are located across the globe. Learn more at https://careers.fiscalnote.com/benefits/.

FiscalNote values diversity. We are committed to equal opportunities and creating an inclusive environment for all our employees. We welcome applicants regardless of ethnic origin, national origin, gender, race, religious beliefs, disability, sexual orientation or age. FiscalNote is an EEOC employer.

FiscalNote uses E-Verify to confirm the employment eligibility of all new employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.DHS.gov/E-Verify.

Top Skills

AI
Data Engineering
Figma

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