Sr. Manager, Data Partnerships

Franchise World Headquarters, LLC; Shelton (CT); On-site; USD 159,000 - 199,000; Full time

Benefits offered by this job

Insurance Plans

Pension/401k/RSP

Competitive Bonus

Mobility Allowance

Tuition Reimbursement

Company Holidays

Volunteering Time

And More...

Job summary

Subway seeks a Sr. Manager, Data Partnerships to align data definitions with stakeholders and ensure data trust for AI and self-service use. You’ll prototype with Claude and drive decisions on data meaning, not just what is built.

You’ll work with senior teams to resolve contested definitions, interpret data classifications, and hand off work to delivery when appropriate. This is a strategic data governance role.

Qualifications

• 5–8 years translating how a business runs into data definitions and governance.
• Proven ability to work with senior stakeholders during disagreements.
• Ability to evaluate data grain and certification calls without building pipelines.
• Fundamental SQL and data engineering knowledge for grain calls.
• Comfort with prototyping using Claude and Claude Code for engineering.
• Deep understanding of Subway's restaurant and franchise economics.
• Background in business analysis, data governance, or analytics leadership.

Responsibilities

• Agree data definitions with stakeholders, own outcomes when there is no decision maker.
• Engage regularly with the business to understand operations and data needs.
• Decide on formal certification of definitions when needed.
• Prototype definitions with Claude/Claude Code for fast feedback.
• Review data sensitivity classifications and help prioritize requests.

Skills

Experience translating business to 데이터

Senior stakeholders handling

Technical judgment on grain/cert

SQL basics

Claude/Claude Code prototyping

Business operation fluency

Analytics leadership background

Job description

Sr. Manager, Data Partnerships

Ready to build what's next with one of the world's most iconic brands?

Why Join Subway?

At Subway, we are not standing still. We are building.

This is a business focused on what matters most: growing franchisee profitability, strengthening our brand and creating long-term value. The people who thrive here are the ones who want to make a real impact.

You will not just do the work. You will shape it.

We move fast. We think like owners. We make decisions that matter. We hold ourselves to a high standard because what we do directly impacts thousands of franchisees around the world.

If you bring energy, accountability and a bias for action, you will fit right in.

We take the work seriously, but we also know the best results come from teams that support each other, celebrate wins and show up ready to build something better every day.

This is your chance to be part of what's next.

About the Role:

The Sr. Manager, Data Partnerships is a business-facing partner who works directly with stakeholders across the organization to agree, record, certify, and defend the business definitions that make Subway's data trustworthy for AI-driven and self-service use. Owns what data means (not what gets built), and prototypes hands-on with Claude and Claude Code to move faster.

Responsibilities include but not limited to:

• Business definitions: agree what each measure means, its grain, and the dimensions it can be sliced by, directly with the stakeholders who use it. Make the final call, and own the outcome, on a contested definition when consensus is unavailable. Escalate contested definitions with no identifiable business decision-maker, and multi-business-unit disputes with real financial, operational, or regulatory consequence.
• Stakeholder relationship: engage the business regularly and proactively to understand how it operates, what matters to each stakeholder and why, and what that means for how data should be defined.
• Certification: decide independently whether and when to formally certify a definition as trustworthy, drawing on technical validation from the Sr. Product Manager, Data Foundation when a call requires it.
• Hands-on prototyping: use Claude and Claude Code directly to prototype a definition, explore data, or sketch something concrete for engineering to build from. Define what AI/ML models, agents, and systems need to get right and judge whether they did. Prototyping does not extend to owning what ships to production.
• Classification: review the sensitivity classification of data, including where a system proposes one automatically, rather than accepting it unreviewed. Stakeholder advocacy and handoff: surface what matters to the business and why, give input on prioritization when asked (without owning the decision), and hand requests to the Delivery team as soon as they shift from what something means to what gets delivered.

Qualifications, Competencies & Traits:

• 5-8 years of experience translating how a business actually runs into data definitions, requirements, or governance
• Track record of holding a position with senior stakeholders under real disagreement, not just resenting to them
• Enough technical grounding to evaluate a grain or certification call and know when to push back, without building the pipeline, model, or agent yourself
• Basic SQL and data engineering fundamentals, sufficient to evaluate a grain call firsthand rather than take someone else's word for it
• Comfortable using Claude and Claude Code directly to prototype a definition, explore data, or sketch something for engineering to build from, moving on your own judgment
• Fluency in how Subway's business operates (restaurant, franchise, and franchisee economics)
• Background in business analysis, data governance, analytics leadership, or client success / product success, with real data fluency

What do we offer?

• Insurance Plans (Medical, Life)
• Pension/401k/RSP (country specific)
• Competitive Bonus
• Mobility Allowance
• Tuition Reimbursement
• Company Holidays
• Volunteering Time
• And More...

Compensation

The base pay range for this role is $158,900 - $198,600.

Pay within this range will be determined in good faith based on job-related factors, which may include skills, experience, education/training, location, and internal equity.