[Hiring] Measurement Science Lead Consultant @Allstate

Role Description

The Measurement Science Lead Consultant combines deep analytical expertise with strong consulting, communication, and stakeholder management skills. This role is responsible for defining and ensuring high-quality measurement practices across Claims. This role serves as a strategic leader and subject matter expert, partnering with business and analytics teams to ensure initiatives are measured accurately, enabling confident, data-driven decision making. Reducing the risk of misinformed decisions is critical to the future success of Allstate.

The role is guided by 3 core pillars:

• Consult: Short term consulting engagements with teams across claims to provide feedback and course correct measurement on specific projects.
• Embed: Long-term engagements serving as a dedicated resource within business and product teams, providing hands-on analytical support, domain expertise, and partnership to help achieve strategic objectives.
• Educate: Helping educate claims leaders and employees on how to think about and execute with measurement science.

Communication & Stakeholder Influence:

• Translate complex analytical concepts into clear business recommendations.
• Present findings, risks, and opportunities to senior leadership.
• Build strong partnerships across Claims, Analytics, Technology, and Finance.
• Lead complex measurement engagements involving multiple stakeholders.

Measurement Strategy & Consulting:

• Partner with business leaders to define business objectives, success metrics, assumptions, and measurement approaches.
• Provide consultative expertise on measurement design and business outcomes. Ensure analyses are accurate, defensible, and aligned to business objectives.
• Identify measurement risks and opportunities that could impact decision quality.
• Promote consistent measurement standards, frameworks, and best practices.

Experimental Design & Evaluation:

• Design and execute experiments, quasi-experiments, and observational studies.
• Apply statistical and causal inference methods to evaluate business initiatives.
• Establish baselines, control groups, and success criteria to support valid attribution.

Qualifications

• 5+ years of experience in analytics, data science, measurement science, economics, statistics, or related fields.
• Demonstrated experience designing experiments, causal inference analyses, or program evaluations.
• Excellent communication and presentation skills.
• Experience influencing decisions through analytics and business consulting.
• Experience working in matrixed organizations and partnering with senior business stakeholders.
• Claims experience preferred but not required.

Requirements

• Strong expertise in statistical analysis, experimentation, and causal inference.
• Experience with advanced analytics tools and programming languages (Python, R, SQL).
• Strong business acumen and ability to connect analytics to business outcomes.
• Ability to operate effectively in ambiguous and fast-paced environments.
• Strong problem-solving and critical thinking capabilities.

Benefits

• Compensation offered for this role is $98,100.00 - $167,850.00 annually and is based on experience and qualifications.
• Comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse.
• Monthly connectivity reimbursement for employees eligible to work from home.