Manager, Data Analytics

POSITION SUMMARY

The Manager, Data Analytics plays a crucial role in driving business impact through sophisticated data analysis and strategic insights. This position encompasses ownership of extensive data projects, leveraging AI to enhance speed, scale, quality, and decision-making. Aligned with Empower's growth in a 503A/503B environment, the role demands excellence in strategic thinking, execution rigor, and learning agility. This role is pivotal in aligning data analytics strategies with business goals, ensuring compliance, and fostering innovation in a highly regulated landscape. Candidates must demonstrate strong leadership capabilities and the ability to optimize AI as a transformative force multiplier, advancing Empower’s competitive edge and operational efficiency.

RESPONSIBILITIES

Data Strategy AI Integration: Develop and implement data analytics strategies that integrate AI to enhance predictive analytics capabilities, improve data quality, and support strategic decision-making across the organization. Collaborate with cross-functional teams to ensure alignment with business objectives and regulatory requirements. Innovation Leadership: Lead the exploration and adoption of cutting‑edge AI technologies to drive innovation in data analytics processes. Foster a culture of continuous improvement and learning within the analytics team to maintain competitive advantage in the industry. Strategic Alignment: Ensure data analytics initiatives align with Empower’s business goals and regulatory standards. Utilize data‑driven insights to inform strategic planning and operational decisions, contributing to the company’s growth and compliance in a highly regulated sector. Team Leadership Mentorship and Development: Provide leadership and mentorship to the data analytics team, fostering a collaborative and high‑performance environment. Encourage professional growth and development, ensuring the team possesses the skills necessary to meet evolving business needs. Performance Management: Oversee team performance, setting clear objectives and key results (OKRs) aligned with organizational goals. Implement performance metrics and feedback mechanisms to drive accountability and excellence in execution. Talent Acquisition: Participate in the recruitment and retention of top‑tier analytics talent. Ensure the team’s competencies align with the strategic demands of the business, cultivating a diverse and inclusive workplace culture. Operational Excellence Process Optimization: Optimize data analytics processes to improve efficiency and effectiveness, leveraging AI to streamline operations. Implement best practices and continuous improvement initiatives to enhance data analysis capabilities and outcomes. Resource Management: Manage analytics resources, ensuring efficient allocation of tools and technologies. Monitor budgetary constraints and leverage AI‑driven solutions to maximize resource utilization and operational efficiency. Regulatory Compliance: Ensure data analytics practices comply with industry regulations and standards. Implement governance frameworks to maintain data integrity, security, and privacy, supporting Empower’s commitment to compliance and ethical practices. Cross‑Functional Collaboration Partnership Building: Establish and maintain strong relationships with key stakeholders across the organization. Collaborate with departments such as IT, finance, and operations to align data analytics projects with business priorities and strategic initiatives. Communication and Reporting: Effectively communicate data insights and analytics findings to non‑technical audiences. Prepare and deliver executive‑level reports and presentations that articulate the value and impact of analytics initiatives on business performance. Project Management: Lead cross‑functional data analytics projects, ensuring timely delivery and alignment with business objectives. Utilize AI‑driven project management tools to enhance collaboration, track progress, and optimize project outcomes.

KNOWLEDGE AND SKILLS

Proficient in data analytics tools and AI‑driven platforms, with strong analytical and problem‑solving skills. Exceptional leadership and team management abilities, fostering a culture of innovation and continuous improvement. Strong understanding of regulatory compliance within data management and analytics environments. Excellent communication and stakeholder management skills, with the ability to convey complex data insights effectively.

EXPERIENCE AND QUALIFICATIONS

Bachelor’s degree in Data Science, Business Analytics, or related field; Master’s preferred. Minimum of 5 years of experience in data analytics or related roles, with at least 2 years in a leadership position. Proven track record of leveraging AI to drive business innovation and enhance data analytics capabilities. Experience in a highly regulated industry, with a deep understanding of data governance and compliance.

KEY COMPETENCIES

Customer Focus: Builds trust through customer‑centric solutions. Strategic AI: Guides responsible AI adoption and adaptation. Optimizes Work Processes: Drives efficiency with continuous improvement. Collaborates: Partners effectively to achieve shared goals. Resourcefulness: Secures and deploys resources efficiently.

VALUES

People: Empowering people defines who we are. Quality: Excellence in every product, every time. Service: Serving others is our highest purpose. Innovation: Advancing care through technology and discovery.

EMPLOYEE BENEFITS, HEALTH AND WELLNESS

We offer comprehensive benefits to support your health, well‑being, and future, including medical, dental, and vision coverage, paid time off, 401(k) matching, wellness perks, IV therapy, and compounded medications. Learn more:

PHYSICAL REQUIREMENTS

While performing the responsibilities of the job, the employee is required to talk and hear. The employee is often required to remain in a stationary position for a significant amount of the workday and frequently use their hands and fingers to handle or feel in order to access, input, and retrieve information from the computer and other office productivity devices. Employees are regularly required to move about the office and around the corporate campus. The employee is regularly required to stand, walk, reach with arms and hands, climb or balance, and to stoop, kneel, crouch or crawl. #J-18808-Ljbffr Jobr