Vice President of Analytics Job Description Template
Our company is looking for a Vice President of Analytics to join our team.
Responsibilities:
- Size and scope growth opportunities, which should include a business case, a path to growth, an implementation plan, and stakeholder buy-in;
- Additional responsibilities as assigned;
- Strengthen customer segmentation and targeting by leveraging advanced analytics to drive performance and brand marketing strategies;
- Direct data science projects to solve complex data challenges and opportunities;
- Create and deliver impactful presentations for mid-level and senior-level audiences;
- Manage resources to ensure strategic and operational objectives are met;
- Develop models that help us deeply understand and describe our customers in order to drive consumer-focused business growth;
- Lead, manage and mentor a team of best in class professionals;
- Partner with business leaders to optimize Optum Marketing campaigns based on deep analysis;
- Identify opportunities to use predictive analytics to drive efforts around customer experience and marketing efforts;
- Distill key insights from analytics that address key NPS challenges and provide actionable recommendations;
- Develop advanced capabilities in AI and direct the effective integration of predictive analytics and machine learning into our analytics approach;
- Partner with key stakeholders across marketing, product, operations and other disciplines to communicate insights into actionable initiatives;
- Prioritize key customer & provider journeys based on an analytics framework to drive maximum business value.
Requirements:
- Superior organization, project management skills and attention to detail;
- Ability to work effectively in a fast paced, team environment;
- Strong interpersonal skills and the ability to effectively communicate, both written and verbally;
- Experience working in a production environment with large data sets and best practice tools (e.g. cloud architecture, version control, etc.);
- Demonstrated decision making and problem-solving skills;
- 12+ years of experience working in data science and/or advanced analytics with a track record of delivering insights and business impact;
- Detail-oriented with the ability to multi-task and meet deadlines with minimal supervision;
- Experience with advanced analytic techniques, such as marketing mix, predictive modeling, multivariate regression analysis and ROI measurement;
- Expertise with at least one production-quality programming language (e.g. Java, Python, C++);
- Proficiency in Word, Excel, PowerPoint and Outlook;
- High level of commitment to quality work product and organizational ethics, integrity and compliance.