VP Insights, Analytics & Data Strategy (Remote)

As the VP of Insights, Analytics & Data Strategy at Vericast, your key responsibilities will include leading operational and data automation strategies, developing the Professional Services team, optimizing data solution delivery, and ensuring compliance rigor is applied to client insights. You will also foster interdepartmental collaboration and work directly with senior leadership during strategic discussions.

To be considered for the VP Insights, Analytics & Data Strategy position at Vericast, you need at least a Bachelor's Degree, and a Master's Degree is preferred. Additionally, a minimum of 10 years of relevant experience, including 5 years in digital analysis and multi-channel campaigns, along with strong leadership skills are essential.

Successful candidates for the VP Insights, Analytics & Data Strategy position at Vericast should exhibit strong communication skills, strategic thinking abilities, and a deep knowledge of industry trends. You should also be proficient in data analysis and statistics, possess a commercial mindset, and have experience in fostering collaboration among teams.

The base salary for the VP Insights, Analytics & Data Strategy position at Vericast ranges from $230,000 to $250,000. Furthermore, this role is eligible for an annual bonus incentive program, with total compensation depending on individual skills and experience.

Vericast offers a comprehensive benefits package for the VP Insights, Analytics & Data Strategy position, including medical, dental and vision insurance, a 401K with company matching, generous PTO allowance, and more. Additional perks include life insurance and employee assistance, creating a supportive and inclusive work environment.

In answering this question, highlight your experience in building and leading teams by elaborating on your strategic approach to recruiting, mentoring, and developing talent to fulfill the organization's goals.

Make sure to detail the analytics project, your specific role, the data used, and the impact it had on the organization. Be prepared to discuss challenges you overcame and the insights gained.

Discuss your methodology for assessing existing processes, identifying inefficiencies, and implementing new strategies or technologies that enhance productivity and quality of data solutions.

Emphasize your understanding of compliance regulations as they relate to data analytics and delve into your processes for ensuring adherence while still delivering valuable insights.

Share specific examples of your collaboration with executive teams, outlining how you communicated data-driven insights and influenced strategic decisions.

Provide insights into your past experiences with integrating third-party data sources, including tools, processes, and the criteria you used for evaluation and selection.

Discuss how you stay updated with industry developments, and mention specific sources or publications you follow, demonstrating your commitment to maintaining a competitive edge.

Reflect on your leadership techniques, whether they are transformational, transactional, or collaborative, and how these contribute to your team's success and professional growth.

Speak about the KPIs you believe are crucial for tracking performance, engagement, and impact, and explain your approach to fostering a results-oriented culture.

Provide a detailed scenario illustrating your analytical capabilities, decision-making process, and how the results influenced overall strategy or organizational changes.