Data Excellence Manager
Stripe
Applying takes a free account: you'll come right back to this job to finish with your profile.
Need a reasonable accommodation to apply or interview? Contact us.
JobMinglr uses automated technology to recommend jobs based on profile information and job preferences. Match Score does not determine eligibility for a position, prevent a user from viewing or applying to a job, or make hiring decisions on behalf of an employer.
Description
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About the team
Stripe’s GTM Planning & Central Operations team partners with Sales Leadership, Finance, Product, Region Sales Strategy and Operations, and Data Engineering to build the operational processes, tools, policies, and data required to bring our GTM strategy to life. We bring expertise, rigorous thinking, and a user-first approach to problem-solving. We transform, improve, and support global Stripe business processes to drive critical initiatives and other cross-functional business priorities for the sales planning cycle.
What you’ll do
Build and lead a team of FTE and outsourced Sales Operations experts to improve our customer data. You will partner with GTM leadership to understand gaps and address them through processes, policies, and workflows.
Responsibilities
- Apply systems thinking and continuous improvement to the mechanisms owned by the team.
- Develop a data quality roadmap to address various customer data challenges.
- Align on prioritization with leadership, Data Engineering, and Systems teams.
- Influence the implementation and enablement of systems and tools, working closely with internal systems teams.
- Create an outsourcing strategy for always-on data cleanup.
- Manage contractors as part of the outsourcing strategy to scale data quality initiatives, reporting, processes, and analytics.
- Define and measure metrics for success.
- Develop dashboards highlighting progress against the identified metrics.
- Communicate progress to Stripe leadership and leverage their support to influence and unblock.
Who you are
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- Has 7+ years of sales, strategy, and operations experience in a high-tech growth environment or operational experience in management consulting.
- Is able to own the problem, investigate its root causes, and ensure execution.
- Can work across multiple stakeholders and elevate issues to leadership.
- Has an enthusiastic “roll-up-your-sleeves” mentality and is willing to do IC work while leading.
- Has strong analytical skills and a structured approach to solving unique business problems.
- Works well with a high degree of adaptability and flexibility in a fast-paced, often ambiguous, and rapidly changing environment.
Preferred qualifications
- Experience managing outsourced services.
- Proficiency in SQL and other advanced analytics tools.
- Proficiency in BI visualization tools.
- Prior experience at a growth-stage internet/software company.
- Prior experience in the SaaS and/or payments industry.
How this employer is doing
average
- H1B: Active Visa Sponsor
- Recent Acquisition
- Active Visa Sponsor
Pay for this role
The employer didn't post a pay range for this role. That usually means pay is set in negotiation, which favors whoever arrives with numbers. Check ranges on comparable Data Excellence Manager postings in Chicago, and analyze any offer before you accept it.
Before you apply, worth reading
How JobMinglr reads this job
Every listing here is scored against your profile before you apply: skills overlap, experience level, location and work arrangement, each weighted and explained. You see the score and the reasons, not just a list. How the matching works.