Avalara

Customer Experience Owner, Customer Intelligence

Avalara$100K — $130K *
Business Services
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • B.S. in Computer Science or Engineering.
  • 8+ years of experience in enterprise program leadership, operating model design, or Customer Intelligence strategy.
  • Proven track record in building cross-departmental governance frameworks.
  • Experience partnering with Finance on revenue risk and cost-to-serve impact measurement.
  • Demonstrated ability to develop prioritization standards for executive forums.
  • Hands-on experience with AI governance in decision workflows and measurable outcomes.
  • Strong background in fostering accountability in complex, matrixed environments.

Responsibilities

  • Lead the development of the Enterprise Customer Intelligence Decision Framework.
  • Govern the lifecycle of signal capture, validation, financial quantification, and impact verification.
  • Establish standards for signal eligibility and confidence thresholds.
  • Enforce a unified enterprise framework to eliminate fragmentation across systems.
  • Define executive prioritization and funding standards for customer projects.
  • Partner with Finance for measuring revenue risk and validating financial impact.
  • Manage escalations and conflicts related to signal interpretation using governance standards.

Benefits

  • Eligibility for bonuses in addition to compensation.
  • Health and wellness benefits including private medical, life, and disability insurance.
  • Paid time off and parental leave policies.
  • Commitment to diversity, equity, and inclusion with multiple employee resource groups supported by senior leadership.
Full Job Description
What You'll Do

Role Summary

Customer signals now exist in volume - across Voice of Customer systems, CX360 intelligence outputs, predictive analytics, and operational data. What does not exist is a single enterprise authority that determines:
  • Which signals are credible
  • Which signals materially impact revenue or cost
  • Which signals get funded
  • How impact is verified
  • Who is accountable when action stalls

Without a governed decision framework, signal volume increases but executive decisions degrades. Roadmaps fragment. Metrics drift. Friction themes compete without financial validation. Revenue risk remains unquantified.

The Customer Experience Owner, Customer Intelligence is the enterprise owner of Customer Intelligence activation.

You will define and govern the decision architecture that converts signal into funded, finance-validated action with verified impact. It establishes the standards that determine how Customer Intelligence influences executive prioritization, capital allocation, and accountability.

You will hold formal authority within the Customer Intelligence governance structure and is directly accountable for measurable movement in GRR and CTS attributable to Customer Intelligence activation.

You will not add process. It prevents enterprise revenue leakage and operational inefficiency by enforcing disciplined, data-backed decision standards.

How You will Elevate Avalara:

Business Elevation
  • Ensure validated friction themes are financially quantified before making executive tradeoffs to protect revenue.
  • Improve capital allocation discipline by promoting standardized prioritization criteria.
  • Reduce cost-to-serve by escalating systemic drivers instead of treating symptoms.
  • Increase quality in executive forums through governed signal validation and exposure modeling.

Customer Elevation
  • Ensure recurring customer friction is addressed at enterprise scale.
  • Reduce avoidable churn drivers by accelerating signal-to-action velocity.
  • Prevent fragmented ownership that allows friction to persist across journeys.

Organizational Elevation
  • Eliminate conflicting KPI definitions and metric drift.
  • Raise governance rigor across Product, Operations, and GTM.
  • Embed AI-driven prioritization within defined confidence and audit standards.
  • Increase talent density by holding the system - not just individuals - accountable to measurable outcomes.

A Bar Raiser in this role leaves the enterprise decision system stronger, clearer, and more financially disciplined than they found it.

What Your Responsibilities Will Be

Responsibilities (Enterprise-Level Ownership)

Lead the Enterprise Customer Intelligence Decision Framework
  • Define and govern the end-to-end lifecycle: signal capture • validation • financial quantification • prioritization • funding • impact verification.
  • Establish signal eligibility standards and confidence thresholds before signals enter executive forums.
  • Embed standardized decision criteria into roadmap and capital allocation governance.
  • Eliminate fragmentation across listening systems by enforcing a single enterprise framework.

Authority: Sole enterprise owner of the Customer Intelligence decision architecture.

Define Executive Prioritization & Funding Standards
  • Set the decision criteria used in executive forums reviewing customer friction themes.
  • Define mandatory business case components for Customer Intelligence-driven projects.
  • Present prioritized signal portfolios with quantified revenue and cost exposure.
  • Align validated themes to roadmap sequencing and funding tradeoffs.

Authority:

Manage Financial Accountability & Impact Validation
  • Partner with Finance to measure revenue risk, retention exposure, and cost drivers tied to validated signals.
  • Establish required impact measurement standards before initiative approval.
  • Validate pre- and post-intervention financial performance.
  • Hold projects accountable to defined GRR and CTS movement.

Accountability: Directly accountable for measurable GRR and CTS movement attributable to Customer Intelligence activation.

Improve Accountability & Escalation
  • Lead enterprise response when validated signals require action.
  • Escalate stalled projects tied to approved friction themes.
  • Arbitrate disputes in signal interpretation using defined governance standards.
  • Enforce adherence to validation and influence measurement requirements.

Authority: Formal escalation and arbitration authority within Customer Intelligence governance.

Define Artificial Intelligence Governance Standards
  • Establish governance standards for AI used in signal classification and prioritization.
  • Define measurable confidence thresholds before automated escalation or prioritization impacts executive forums.
  • Approve enterprise-level automation triggers affecting funding or sequencing decisions.
  • Ensure AI is applied responsibly, securely, and auditable.

Authority: Sole owner of AI governance standards within the Customer Intelligence system.

Govern Enterprise Measurement Integrity
  • Define and standardize Customer Intelligence Measurement definitions across VoC, CX360, predictive analytics, and operational systems.
  • Prevent metric drift and conflicting reporting throughout the company.
  • Align Customer Intelligence metrics with financial reporting standards.

Authority: Sole owner of KPI governance tied to Customer Intelligence activation.

What You'll Need to be Successful

Required Qualifications
  • B.S. in Computer Science or Engineering.
  • 8+ years of experience in enterprise program leadership, operating model design, or Customer Intelligence strategy.
  • Demonstrated experience building governance frameworks adopted across multiple departments.
  • Direct experience partnering with Finance to measure revenue risk, retention exposure, or cost-to-serve impact.
  • Experience defining prioritization standards used in executive decision forums.
  • Demonstrated applied experience governing AI-enabled decision workflows tied to measurable outcomes.
  • Experience driving accountability in complex matrixed environments.
  • Demonstrated history of raising execution rigor, decision quality, and measurable performance.


Bar Raiser Expectations

We are hiring a Bar Raiser - someone who elevates the quality, rigor, and financial discipline of how enterprise decisions are made. This role is expected to strengthen how Customer Intelligence translates into action by improving prioritization, accountability, and measurable business impact.

A successful candidate will:

  • Raise decision-making quality by enforcing structured, finance-aligned prioritization and clear tradeoff frameworks
  • Improve enterprise execution rigor by ensuring validated signals translate into funded, accountable initiatives
  • Eliminate ambiguity and fragmentation in how customer friction is defined, measured, and acted upon
  • Increase organizational capability by establishing repeatable governance standards for signal validation, funding, and impact measurement
  • Strengthen cross-functional alignment across Product, Operations, Finance, and GTM through clear frameworks and decision ownership
  • Hold the system accountable, not just individuals, ensuring outcomes are tied to measurable GRR and CTS impact
  • Leave the enterprise decision system measurably stronger, improving speed, clarity, and financial discipline

AI Expectations (AI Bar Raiser Standard)We are hiring an AI Bar Raiser - someone who brings deep, applied AI expertise and uses it to meaningfully improve how customer intelligence is translated into executive decision-making. This role is expected to elevate how AI is applied across the organization, driving measurable improvements in prioritization accuracy, financial modeling, and decision speed.

A successful candidate will:
  • Apply AI-driven clustering, classification, and predictive indicators to grow signal validation.
  • Measure AI impact in improved prioritization speed, financial modeling, or escalation accuracy.
  • Define measurable confidence and audit thresholds before automation impacts funding decisions.
  • Partner with analytics teams to improve model performance tied to GRR and CTS.
  • Improve AI capability across governance forums by promoting AI-informed decision criteria.

AI usage must materially improve speed, rigor, financial precision, or scale. Casual or convenience-based AI usage does not meet the standard.

12-Month Success Signals

Within 12 months:
  • Enterprise Customer Intelligence decision framework formally adopted across Product, Operations, and GTM.
  • Executive prioritization forums operating with standardized financial validation criteria.
  • Documented, Finance-validated improvement in GRR and/or measurable CTS reduction attributable to Customer Intelligence-driven action.
  • ≥25% reduction in signal-to-action cycle time.
  • Elimination of conflicting Measurement definitions across Customer Intelligence systems.
  • AI-enabled signal validation and prioritization operating within defined governance thresholds.

Beyond 12 months:
  • Customer Intelligence becomes a mandatory input to roadmap and capital allocation decisions.
  • Predictive signal modeling informs proactive retention and cost reduction strategies.
  • The enterprise shows measurable improvement in decision speed and financial discipline tied to customer friction resolution.

How We'll Take Care of You

Total Rewards

In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses.

Health & Wellness
Benefits vary by location but generally include private medical, life, and disability insurance.

Inclusive culture and diversity
Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship.

About Avalara

Avalara is a software company that provides cloud-based tax compliance solutions. The company was founded in 2004 and is headquartered in Seattle, Washington. Avalara's software helps businesses manage sales tax, VAT, and other tax requirements. The company has over 20,000 customers and operates in over 100 countries. Avalara went public in 2018 and is listed on the New York Stock Exchange under the ticker symbol AVLR.
Learn more about Avalara
Size
4,465 employees
Market Cap
$8.2 billion
Industry
Net Income
-$49.1 million
Founded
2004
5 Year Trend
+33.1%
Revenue
$500.5 million
NASDAQ

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