Job Details
Description
We’re looking for a self-motivated Director of Technology, Data & Analytics who has a passion for challenges, innovation, and helping people to achieve their goals.
About Infosync Services
Multi-unit business operators often find accounting and payroll to be frustrating and expensive. InfoSync provides the people and technology so they can focus on their core business.
With over 11,000 locations using our services across 90 different brands, InfoSync is the leading provider of outsourcing services for multi-unit businesses.
WHY WORK FOR INFOSYNC?
At InfoSync, we know that you want to be a valued employee. In order to do that, you need a job with purpose, development, and opportunity for growth. We believe everyone should feel a part of a bigger purpose and enjoy coming to work every day. That is why we’ve hired over 700 employees who help us achieve our mission, vision, and our values.
Mission: Be the leading provider of outsourced business solutions through insight and innovative technologies, the development of people, and delivering excellent customer service.
Vision: Power people, enabling them to maximize their success.
Values: People, Teamwork, Respect, Integrity, Accountability, and Purpose
About The Role
As the Director of Technology, Data & Analytics you will be responsible for leading the data efforts within Technology. Your expertise in data sourcing, evaluation, modeling, and governance will be crucial in supporting our investment decision-making processes and driving innovation in our data-driven strategies.
Responsibilities
Data Strategy and Management:
- Develop and execute the data strategy, focusing on data needs for the entire company.
- Oversee the collection, transformation, and quality assurance of diverse data sources.
- Collaborate with team members across technology and the business to identify data-driven opportunities and drive innovation in business strategies.
- Develop frameworks and methodologies for integrating and normalizing diverse data sets, ensuring consistency and accuracy.
- Collaborate with cross-functional teams to define data governance policies, data standards, and data architecture frameworks.
Data Selection And Sourcing
- Identify and evaluate a wide range of traditional and non-traditional data sources.
- Develop a comprehensive understanding of the data landscape, staying updated on emerging data sources, vendors, and technologies.
- Collaborate with internal teams and external data providers to negotiate contracts, access/entitle data, and ensure compliance with data licensing and usage agreements.
- Collaborate with IT teams to design and optimize data architectures, data pipelines, and data warehouses to support asset management needs.
Data Initiative Program Management
- Lead and manage data-driven initiatives and projects, overseeing the program, including planning, execution, monitoring, and evaluation.
- Collaborate with stakeholders to define project goals, deliverables, timelines, and resource requirements.
- Monitor project progress, manage risks, and communicate updates to key partners, ensuring successful and timely project delivery.
Leadership And Collaboration
- Collaborate with data professionals, providing guidance, mentorship, and technical expertise.
- Stay informed about emerging data technologies, tools, and platforms, assessing their potential impact on data management and analytics capabilities.
- Evaluate and recommend data technology solutions to support data cataloging, data integration, data governance, and data analytics.
The Expertise And Skills You Bring
- Bachelor s Degree
- Strong expertise in data management, data governance, and data architecture principles.
- Familiarity with analytic and visualization technologies a plus (e.g. Tableau, Power BI, SQL, etc.)
- Knowledge of data governance, data quality, and data management standard processes.
- Exceptional analytical, conceptual, and problem-solving abilities
- Strong communication and presentation skills, with the ability to effectively communicate complex data insights to both technical and non-technical stakeholders.
- Independent and strategic problem solver; accountable for and skilled in exercising sound judgment
- Validated attention to detail as well as effective time management abilities
- Passion for continuous learning and staying ahead of the curve in the data analytics field.
