Director of Analytics and Reporting

TieTalent; Delaware; Remote; USD 140,000 - 170,000; Full time

Job summary

A leading company in the technology sector is looking for a Director of Technology to lead analytics and reporting strategies. This remote position involves modernizing tech architecture, fostering partnerships, and driving a data product mindset across the enterprise. Ideal candidates will possess extensive experience in analytics and a strong technical acumen, all while demonstrating leadership in a dynamic environment.

Benefits

Annual success-sharing bonuses

Global career opportunities

Support for colleagues with disabilities

Qualifications

• 15+ years in Business Intelligence, Data Virtualization, and Analytics.
• Proven ability to lead and develop high-performing teams.
• Extensive hands-on experience in data integration and management.

Responsibilities

• Modernize Technology Architecture & Infrastructure.
• Build and optimize scalable technology foundations.
• Establish and communicate a compelling data analytics strategy.

Skills

Business Intelligence

Data Virtualization

Analytics

Data Science

Artificial Intelligence

Machine Learning

Data Visualization

Education

Bachelor's degree in Engineering, Science, Computer Science, or a related field

Master's or Ph.D. in Computer Science, Data Science, Statistics or related field

Job description

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About

Job Description

Director of Technology

Remote

Monday-Friday 8:00 - 5:00

The Director of Analytics and Reporting will lead the development and execution of enterprise-wide analytics strategies and solutions. This pivotal role serves as a strategic partner to internal business units, driving the optimization and adoption of CSC-supported analytics capabilities across global development functions.

Reporting into the Data Management function of Enterprise Technology, this leader will oversee key areas including advanced analytics, artificial intelligence/machine learning (AI/ML), and data visualization. The Director will ensure these capabilities are tightly aligned with enterprise-wide objectives, enabling data-driven decision-making at scale.

Operating with a high degree of autonomy, the Director will be responsible for: Driving innovation and value creation through scalable analytics solutions Fostering strong cross-functional partnerships with business, technology, and data stakeholders Translating strategic goals into actionable insights and measurable outcomes The Director must demonstrate a proven ability to lead, manage, and develop high-performing, diverse teams in a dynamic, enterprise environment. This role requires a strong blend of leadership acumen and technical expertise, with deep proficiency in data virtualization, business intelligence, analytics, and data science.

In addition to technical depth, the ideal candidate will have extensive experience in integrating complex business processes with associated systems and infrastructure, enabling seamless data flow(Data abstract layer), operational efficiency, and insight generation across the organization.

This unique combination of strategic leadership and hands-on technical capability is essential to drive innovation, foster cross-functional collaboration, and deliver on the organization's data and analytics vision.

Responsibilities

Modernize Technology Architecture & Infrastructure Build and optimize scalable, flexible, and secure technology foundations to unlock data, analytics, and AI capabilities across the enterprise. Establish and Communicate a Compelling Data Analytics Strategy Define a bold, actionable vision for data and AI; ensure alignment and engagement through clear communication and strong stakeholder relationships. Articulate and Measure Business Value Quantify the impact of data, analytics, and AI initiatives by linking investments to measurable business outcomes and value creation. Implement a Modern Operating Model Drive shared accountability and cross-functional collaboration through agile, domain-aligned data ownership and governance structures. Build an AI-Ready Workforce Attract, develop, and retain top talent with advanced data and AI skill sets to accelerate innovation and readiness for Gen AI. Promote a Data Product Mindset and Insight-Driven Culture Empower the organization through data democratization, enabling access to trusted, reusable data products and self-service insights. Capitalize on Gen AI Opportunities Leverage existing and emerging technology investments to harness the transformative potential of generative AI in practical, value-driven ways. Ensure Data Privacy, Security, and Compliance Proactively manage evolving regulatory requirements and enterprise risks through robust data governance, privacy, and security frameworks. Strengthen Ecosystem Partnerships Expand capabilities and accelerate delivery by evaluating and engaging with external partners who complement in-house expertise. Champion Ethical and Sustainable Data Practices Embed ethics, sustainability, and trust into all data and AI initiatives, demonstrating leadership both internally and externally. Education and Experience Requirements

Preferred Required

Bachelor's degree in Engineering, Science, Computer Science, or a related technical discipline is required. Master's or Ph.D. in Computer Science, Data Science, Statistics, or a closely related field is strongly preferred Experience:

15 plus years of progressive experience in Business Intelligence (BI), Data Virtualization, Analytics, and/or Data Platforms, with a strong focus on predictive modeling and data-driven decision-making. Proven matrix leadership experience, with demonstrated ability to lead through influence, navigate complex stakeholder environments, and drive alignment across cross-functional teams. Extensive hands-on experience in data integration, ingestion, warehousing, and management of large-scale, complex, and diverse data environments. Strong capability to translate business requirements into scalable analytics and data integration solutions, while identifying capability gaps and defining the roadmap to meet future-state modeling and analytics goals. Experienced in leading high-performing teams of analysts, data scientists, BI developers, with a focus on innovation, impact, and scalable solutions. Known for exceptional communication and data storytelling abilities, effectively engaging technical and non-technical audiences alike. Ideal candidate should have a proven track record of developing, managing and mentoring globally distributed teams.

-CS1

- Technology

- CSCcareers

About Us

CSC is a global business, legal, and financial services company based in Wilmington, Delaware, USA, providing knowledge-based solutions to clients worldwide. We have offices and capabilities in over 140 jurisdictions in the Americas, Europe, Asia Pacific, and the Middle East, and more than 8,000 colleagues. We are the business behind business.

Visit our careers site to learn more about CSC and our commitment to our clients, communities, and each other.

CSC is committed to creating a feeling of belonging through a diverse and growth-oriented environment where everyone is valued.

CSC colleagues have global career opportunities and excellent benefits, including annual success-sharing bonuses or commission plans based on individual performance. To learn more, visit cscglobal.com/service/careers.

We offer a range of support to colleagues with disabilities, ensuring people have the necessary resources to thrive in their roles. We encourage candidates to work closely with our talent acquisition partners to convey their specific needs. Our commitment to accessibility reflects our broader dedication to diversity and belonging,

CSC only accepts resumes from employment agencies that are part of our approved supplier program. Resumes submitted from other agencies either to talent acquisition, our hiring leaders, employees, or through any other mechanism other than our supplier process, will not be eligible to claim related fees and the submitted resumes will be considered property of CSC.

We encourage candidates to apply directly to our website and not through third-party sources.

Disclaimer: The information above describes the general nature and level of work performed by employees in this role. It is not intended to describe all duties, responsibilities, and qualifications.

Nice-to-have skills

• Reporting
• Artificial Intelligence
• Machine Learning
• Data Visualization
• Business Intelligence
• Data Science
• Data Integration
• Predictive Modeling
• Delaware, United States
  
  

Work experience

• Product Owner / Product Manager
• Data Analyst
• Data Scientist
  
  

Languages

• English

Seniority level

• Seniority level

  Director

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Analyst, and Information Technology

• Industries

  Technology, Information and Internet

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