Global Analytics Director

Description
CentroMotion

is seeking a Global

Data Analytics Director

who is passionate about turning complex data into compelling insights. As the Data Analytics Director, you will be the driving force behind our data strategy, hiring and developing a dynamic team to ensure data accuracy, create innovative data models, and deliver actionable data/insights that drive our business forward.
The Global Data Analytics Director is responsible for creating, implementing, and managing the companys data and analytics strategies, culture, tools, and team in alignment with the overall IT and business strategy providing data-driven insights to accelerate the achievement of business goals. This role, which reports to the Chief Information Officer (CIO), will hire additional team members to create the Data Analytics team. Key responsibilities include the oversight of the enterprise analytics and business intelligence operations ensuring data availability, collection, standardization, integration, innovation, and governance. The Global Data Analytics Director will also be required to deliver projects on schedule under the agile framework and be able to manage resources, priorities, and activities for a geographically dispersed team.
In addition, this role will provide actionable data and insights to support business objectives and is involved in many cross discipline and strategic initiatives. This role must be a change agent, self-motivated, hands-on, have strong problem-solving skills and the ability to manage several projects simultaneously, while being detail oriented and provide business support in compliance with existing IT service level agreements.
Responsibilities:
Build the long-term strategy and roadmaps of the technologies under their responsibility, including analytics, data warehouse, data fabric, PowerBI, data collection, mining and integration for SQL and Oracle SQL, artificial intelligence and machine learning based on products direction, market trend, and business needs.
Drive data governance initiatives by establishing data quality standards, ensuring data accuracy, and implementing data security measures.
Foster a culture of data-driven decision making within the organization, promoting the use of analytics to drive continuous improvement and innovation.
Effectively communicate and provide recommendation of complex analytical findings and insights to both technical and non-technical stakeholders helping them make informed decisions and drive business growth.
Collaborate and partner with other IT teams to ensure data infrastructure, systems, and tools are optimized and aligned to support efficient data collection, storage, and analysis.
Execute under the agile framework, assign resources, milestones to projects and initiatives planned for the year communicating effectively within IT, stakeholders and executive as needed.
Maintain the analytics and data platforms in current versions leading upgrades and proposing consolidation where possible.
Ensure, follow, and establish security policies and practices for development, vulnerability management and patches to keep the analytics and data platforms safe for the company.
Research and introduce innovative technology to accelerate the companys value creation process.
Enhance and maintain a global support operating model to assure business continuity and high availability of critical analytics and data platforms managing and responding to support requests according to the defined SLAs.
Recruit, lead, develop, train, empower, mentor, communicate, and provide meaningful feedback to data analytics, architect and team members for high performance, quality results and excellence.
Manage vendor relationships, services, contracts, renewals, and pricing negotiations.
Collaborate, support, and execute M&A activities including due diligence, integrations, divestiture, documentation, design, implementations, and architecture of the applications environment.
Travel to key operations sites as required to understand business needs, address IT challenges or build/strengthen team.
Perform other duties or responsibilities as assigned.
Benefits:
Comprehensive health benefits package (medical, dental, vision, etc.) for positions of 30 hours or more per week
Health Savings Account with annual employer contribution
Company provided Life Insurance, Accidental Death and Dismemberment, and Short-Term Disability
Voluntary Life Insurance, Spousal Life, Child Life, Critical Illness, Accident, and Long-Term Disability
401(k) with matching contribution that is fully vested from day 1
Generous amount of PTO, plus 14 paid Holidays
Tuition reimbursement and scholarship opportunity
$250 in Lifestyle Reimbursement Account upon completion of annual physical
Wellness program with monthly themes, quarterly challenges, onsite flu shot clinics and biometric screenings
Clean and safe work environment
Requirements
Education:

Bachelor's degree in a relevant field such as Mathematics, Statistics, Economics, or Computer Science. A masters degree is preferred.
Experience and/or Training :
5+ years of experience working and leading analytics or business intelligence teams in a global environment overseeing large scale information technology projects.
Demonstrated experience in developing and implementing analytics strategies in a corporate environment.
Strong understanding of data governance principles and practices.
Ability to understand business requirements converting them into technical solutions to satisfy the users needs.
Strong experience implementing Agile framework into the software development lifecycle.
Experience in building data and analytics areas for the ground up including team hiring, tools selection and implementation.
Excellent problem-solving, critical thinking and working under pressure skills.
Effective resources, time and prioritization management is a must.
Strong record of successful talent development, leadership, and mentoring
Ability to select, manage and leverage third party services and vendors to accelerate results.
Excellent written and oral communication skills.
Customer centricity and a ready to help attitude is essential for success.
Experience working within a PE-backed high growth organization is preferred.
Technology/Equipment:
A strong working knowledge of analytics platforms including Data Fabric/Data Warehousing technologies, ETL tools like Alteryx, SQL, Oracle SQL and Visualization tools like PowerBI is required. Certification in relevant analytics tools or methodologies is a plus.

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