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Director, Enterprise Data & Analytics

LVT — LiveView Technologies

LVT — LiveView Technologies

Data Science
american fork, ut, usa
Posted on Tuesday, April 9, 2024

Why LVT:

LVT (LiveView Technologies) is making the world a safer place and we need your help! Based in Utah, LVT is the world's leader for physical security platforms and data. With our systems in every state and working with Fortune 500 enterprise companies, we're positioned for massive growth in the years to come. While we were founded nearly 20 years ago, we are still innovative and consistently scaling. If you are looking for a market leading organization with untapped potential, look no further than LVT!

So about that scalability - we’ve been very intentional about our growth and profitability, which has driven our massive growth trajectory. To keep up with the explosive demand, we need self-motivated, innovative go-getters at every level. At LVT, we provide a fulfilling career that allows you to live your best life at work and at home. We provide the culture to work smart and have fun, while giving you the flexibility needed for yourself and your loved ones.

If you are looking for an opportunity with leadership, ownership, accountability, and you're excited about contributing to a high-growth company with a strong foundation where you can make an immediate impact, read on!

Responsibilities:

Data Strategy and Governance:

  • Develop and execute a comprehensive data strategy aligned with business objectives, identifying opportunities to leverage data as a strategic asset to drive innovation and competitive advantage.
  • Establish data governance frameworks, policies, and standards to ensure the integrity, security, and quality of our data assets, in compliance with regulatory requirements and industry best practices.
  • Define data architecture principles and guidelines to guide the design and implementation of scalable and interoperable data solutions across the organization.

Leadership and Team Management:

  • Lead and mentor a multidisciplinary team comprising business intelligence analysts, data engineers, and data scientists, fostering a culture of collaboration, innovation, and continuous learning.
  • Set clear goals and priorities for the team, providing guidance and support to drive performance and achieve strategic objectives.
  • Promote diversity, equity, and inclusion within the team, championing a culture of belonging and respect.

Business Intelligence and Analytics:

  • Oversee the development and maintenance of business intelligence and analytics platforms, ensuring they deliver actionable insights to support decision-making and drive operational efficiency.
  • Collaborate with business stakeholders to understand their data and analytics needs, and translate requirements into scalable and user-friendly BI solutions.
  • Monitor key performance indicators (KPIs) and performance metrics to track the effectiveness of BI initiatives and identify opportunities for improvement.

Data Engineering and Integration:

  • Manage the design and implementation of data pipelines and integration processes to ensure seamless flow of data between disparate systems and platforms, including Salesforce, ServiceNow, Acumatica, and other SaaS products.
  • Evaluate and select appropriate tools and technologies to support data ingestion, transformation, and storage, optimizing for performance, scalability, and cost-effectiveness.
  • Collaborate with IT and engineering teams to ensure data infrastructure and systems meet scalability, availability, and security requirements.

Data Science and Advanced Analytics:

  • Drive the development of advanced analytics and machine learning models to extract actionable insights from our data, enabling predictive analytics, forecasting, and optimization of business processes.
  • Collaborate with cross-functional teams to identify opportunities for data-driven innovation and experimentation, and lead initiatives to prototype and validate new ideas.
  • Stay abreast of emerging trends and technologies in data science and analytics, and provide guidance on their potential impact and applicability to our business.

Knowledge, Skill & Experience:

  • Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field. Master's degree or relevant certifications (e.g., CDA, CDE, CDS) preferred.
  • Proven experience (10 years) in leadership roles overseeing enterprise data initiatives, with a focus on business intelligence, data engineering, and data science.
  • Deep understanding of data management principles, methodologies, and best practices, with expertise in data governance, data architecture, and data integration.
  • Strong leadership and management skills, with the ability to inspire and motivate teams, drive performance, and foster a culture of collaboration and innovation.
  • Excellent communication and interpersonal skills, with the ability to effectively interact with stakeholders at all levels of the organization and build strong relationships.
  • Demonstrated track record of driving business value through data-driven insights and initiatives, with a focus on delivering measurable impact and ROI.
  • Strategic mindset, with the ability to think analytically, anticipate future trends, and develop innovative solutions to address business challenges and opportunities.

Benefits:

  • Employee equity program
  • Performance based incentive pay
  • Unlimited flex-time off
  • Standard paid holidays (9)
  • Health, vision, and dental
  • Voluntary life insurance
  • 401k

HR Policy:

We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Must be authorized to work in the U.S.

All candidates must pass a drug screening and background check upon employment.