Circana Logo

Circana

VP I, Data Management

Posted Yesterday
Be an Early Applicant
Remote
Hiring Remotely in United States
170K-225K Annually
Senior level
Remote
Hiring Remotely in United States
170K-225K Annually
Senior level
Lead the development of a global attribution strategy, manage data product requirements, and facilitate cross-functional collaboration to enhance measurement practices.
The summary above was generated by AI

Attribution Transformation Leader, VP Data Management

 

Let’s be unstoppable together!

 

At Circana, we are fueled by our passion for continuous learning and growth, we seek and share feedback freely, and we celebrate victories both big and small in an environment that is flexible and accommodating to our work and personal lives. We have a global commitment to diversity, equity, and inclusion as we believe in the undeniable strength that diversity brings to our business, employees, clients, and communities. With us, you can always bring your full self to work. Join our inclusive, committed team to be a challenger, own outcomes, and stay curious together. Circana is proud to be Certified™ by Great Place To Work®. This prestigious award is based entirely on what current employees say about their experience working at Circana.

Learn more at www.circana.com.

 

What will you be doing?

We are seeking a senior leader to redefine and scale how products are attributed globally across channels, platforms, and markets.  This role will own the vision, strategy, and execution of a modern attribution framework, bringing rigor, transparency, and consistency to how value is measured and assigned.

This person will operate at the intersection of data science, product, analytics, and commercial strategy, partnering closely with, engineering, marketing, finance and global stakeholders. The ideal candidate has built or operated best-in-class attribution systems at scale, understands the realities of imperfect data, and can translate complex measurement into actionable business outcomes.

Why This Role Matters

This is a foundational role with visibility and influence across the organization. The person in this position will shape how value is understood, investments are made, and performance is evaluated-globally.


Key Responsibilities

Strategy & Vision:

  • Define and lead a global attribution strategy for manufacturer and private label items across digital and offline touchpoints.
  • Establish a clear attribution philosophy aligned to business goals
  • Identify gaps in current attribution approaches and design scalable solutions to address them

Product & Data Leadership:

  • Own attribution as a data product: roadmap, requirements, success metrics and adoption
  • Partner with data science, product management and engineering to design and implement robust attribution models
  • Evaluate and integrate data sources (CRM, media platforms, app data, retail data etc)
  • Ensure attribution outputs are explainable, trustworthy and decision-ready

Cross-Functional Influence:

  • Work closely with marketing, sales, finance, and manufacturer partners to align on measurement needs
  • Translate complex attribution results into clear insights for executive and commercial teams
  • Set standards and best practices for attribution usage globally

Governance & Scale:

  • Establish global frameworks, documentation, and guardrails for attribution methodology
  • Drive consistency while allowing for market-level nuance
  • Ensure data-quality, compliance, and privacy considerations are embedded in all solutions

 

What Success Looks Like

  • A unified, scalable attribution framework adopted globally
  • Increased confidence and consistency in how manufacturer impact is measured
  • Faster, better-informed decisions driven by clear attribution insights
  • Strong cross-functional trust in attribution outputs

Required Qualifications

  • Education: Bachelor's degree in Information Technology, Computer Science, Business Management, or a related field; Master's degree preferred.
  • Experience: 8-12+ years of experience in attribution, measurement, analytics, or data product leadership
  • Deep expertise in multi-touch attribution, marketing measurement, or performance analytics at scale
  • Proven ability to lead ambiguous, high-impact transformation initiatives
  • Experience influencing senior stakeholders across functions and geographies
  • Ability to thrive in fast-paced, complex settings while maintaining focus on stability and efficiency.
  • Other Requirements:  Willingness to travel as needed (up to 15%).

Circana Behaviors

As well as the technical skills, experience and attributes that are required for the role, our shared behaviors sit at the core of our organization. Therefore, we always look for people who can continuously champion these behaviors throughout the business within their day-to-day role:

  • Stay Curious: Being hungry to learn and grow, always asking the big questions.
  • Seek Clarity: Embracing complexity to create clarity and inspire action.
  • Own the Outcome: Being accountable for decisions and taking ownership of our choices.
  • Center on the Client: Relentlessly adding value for our customers.
  • Be a Challenger: Never complacent, always striving for continuous improvement.
  • Champion Inclusivity: Fostering trust in relationships engaging with empathy, respect, and integrity.
  • Commit to each other: Contributing to making Circana a great place to work for everyone.

Location

This position can be located in the following area(s): Remote 


Prospective candidates may be asked to consent to background checks (in accordance with local legislation and our candidate privacy notice ) Your current employer will not be contacted without your permission.


The below range reflects the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future. An employee’s position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, any collective bargaining agreements, and business or organizational needs. The salary range for this role is $170,000 to $225,000.


This job is also eligible for [bonus/incentive/commissions/equity] pay.


We offer a comprehensive package of benefits including [paid time off, medical/dental/vision insurance and 401(k)] to eligible employees.


You can apply for this role through methods such as (e.g., Careers website link and/or Intranet site for internal candidates).


The anticipated application deadline for this position is 03/09/2026.


#LI-JT1

Top Skills

Analytics
Attribution Models
CRM
Data Science
Marketing Measurement

Similar Jobs

A Minute Ago
In-Office or Remote
Plano, TX, USA
142K-222K Annually
Senior level
142K-222K Annually
Senior level
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
This role involves integrating interference generators, performing multicore analysis, developing embedded software, ensuring compliance, and guiding software/hardware integration in safety-critical environments.
Top Skills: CC#C++CdCiDvcsHelix Virtualization Platform
11 Minutes Ago
Remote or Hybrid
6 Locations
178K-313K Annually
Senior level
178K-313K Annually
Senior level
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
The Machine Learning Engineer will build and deploy ML models, applying modern techniques to solve problems and collaborate with teams on ML-driven features.
Top Skills: Caffe2PyTorchScikit-LearnSpark MlTensorFlow
11 Minutes Ago
Remote or Hybrid
6 Locations
195K-343K Annually
Senior level
195K-343K Annually
Senior level
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
As a Staff Machine Learning Engineer, you will set the technical direction for the Ad Ranking team, design and deploy machine learning solutions, and mentor engineers while driving large cross-team initiatives.
Top Skills: Caffe2Deep LearningMachine LearningPyTorchScikit-LearnSpark MlTensorFlow

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account