Sr. Solution Delivery Manager, Pricing Analytics

Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver.

Our Heart At Work Behaviors support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.

Position Summary

The Retail Consumer Analytics team is helping drive improved consumer experience by partnering with key business areas across CVS Health to deliver impactful analytic solutions and insights. As a member of the Analytics & Behavior Change Pricing Analytics team, you will be at the forefront of delivering high visibility analytic projects for key CVS Retail strategic priorities to drive revenue and customer satisfaction in CVS Health’s Front Store business. You will be joining a team responsible for designing, building and delivering data science solutions and decision support tools to optimize retail pricing in CVS stores. We are a fast-paced team focused on building innovative analytic solutions using AI/ML and cloud capabilities.

As a Sr. Solution Delivery Manager, you will be expected to collaborate with business and technical stakeholders to deliver end to end pricing solutions. We are looking for talented individuals who have a strong sense of ownership, accountability and a desire to deliver high quality end to end intuitive and impactful analytic products using advanced data driven approaches.

The Sr. Solution Delivery Manager will:

• Collaborate with business stakeholders to understand business needs and convert them into requirements for solution enhancements or ad hoc analyses
• Guide overall roadmap for enterprise optimal pricing solutions that deploy complex data science models through interactive user interfaces
• Work within a cross-functional analytics team of data scientists, analysts, data engineers and developers to execute solution upgrades and analyses
• Define objectives and key milestones to meet short and long term needs of business stakeholders and oversee project management activities including team communication, leadership updates, stakeholder management and timelines
• Independently execute ad hoc analyses to answer high priority business questions, test hypotheses and discover opportunities
• Develop and leverage in-depth knowledge of Retail Merchandising business processes and translate key drivers of business value to analytic opportunities
• Organize, collect, and standardize data visualization techniques to effectively communicate analytical results, insights and support business decisions
• Develop and maintain relationships with wide range of stakeholders including business partners, IT, other data and analytic teams, Legal, etc.
• Mentor junior team members to provide solution strategy and technical advice
• Interact with internal and external peers and management to share progress and/or to gain acceptance of new or enhanced technology / business solutions

Required Qualifications

• 5+ years of consulting or strategy experience in the retail or technology industry.
• 5+ years of business analytics experience, leading high visibility analyses and initiatives with a track record of business impact: including end-to-end building and delivering data and analytics solutions or products that are scaled to enterprise application.
• 2+ years of experience in the retail merchandising domain expertise including areas such as price optimization, category management, assortment optimization, product clustering, product price sensitivity and promotion affinity evaluation, store clustering and localization.

Preferred Qualifications

• 5+ years designing and implementing products that leverage AI/ML and advanced analytics to solve for pricing and merchandising in a retail context
• Problem solving skills and experience in translating business problems across disciplines into advanced analytic projects with measurable business value
• Excellent written and oral communication and data presentation skills, with ability to communicate technical concepts / solutions to business partners
• Excellent project management skills, ability to deliver in a fast-paced environment and work in a climate of ambiguity
• Experience with managing large scale projects, leading multiple workstreams and working with multiple business stakeholders in a matrixed environment to influence decision-making
• Solid understanding and hands-on experience with a variety of analytic processes and techniques, including development of measurement methodologies, statistical significance testing, rules-based and machine learning modeling, and data visualizations
• Solid understanding and hands-on experience working with large data sources and proficiency in latest cloud based advanced tools and platforms

Education

BA/BS degree required
MBA preferred

Pay Range

The typical pay range for this role is: $136,217.50 - $267,800.00

CVS Health requires certain colleagues to be fully vaccinated against COVID-19 (including any booster shots if required), where allowable under the law, unless they are approved for a reasonable accommodation based on disability, medical condition, religious belief, or other legally recognized reasons that prevents them from being vaccinated.

You are required to have received at least one COVID-19 shot prior to your first day of employment and to provide proof of your vaccination status or apply for a reasonable accommodation within the first 10 days of your employment.

CVS Health is committed to recruiting, hiring, developing, advancing, and retaining individuals with disabilities. As such, we strive to provide equal access to the benefits and privileges of employment, including the provision of a reasonable accommodation to perform essential job functions.