Sr. Director, IT Data Analytics

MKS Instruments•Andover, MA

2d•Hybrid

About The Position

As a Senior Director, IT Data Analytics you will be responsible for defining and executing the organization's data analytics strategy to enable data-driven decision-making, improve business performance, and support strategic growth objectives. This role leads enterprise analytics, business intelligence, data governance, and reporting capabilities while partnering with senior leaders across the organization to transform data into actionable insights.

Requirements

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics, Mathematics, Engineering, Business, or a related field required
15+ years of progressive experience in data analytics, business intelligence, data science, reporting, or related disciplines.
7+ years of leadership experience managing analytics, business intelligence, or data management teams.
Proven experience developing and executing enterprise-wide analytics and data strategies in a complex, global organization.
Demonstrated success partnering with executive leadership to influence business decisions through analytics and insights.
Advanced experience with business intelligence and visualization platforms such as Power BI, Tableau, Qlik, Grafana or similar technologies.
Strong expertise in SQL, data modeling, data warehousing, data integration, ETL processes, and enterprise data architecture.

Nice To Haves

Master's degree preferred

Responsibilities

Develop and execute the enterprise data analytics strategy aligned with business objectives and long-term organizational goals.
Lead the design, development, and delivery of business intelligence, reporting, dashboarding, and advanced analytics solutions.
Establish and monitor key performance indicators (KPIs), metrics, and reporting frameworks that drive business performance and operational excellence.
Partner with executive leadership and functional leaders to identify opportunities for leveraging data and analytics to improve decision-making and business outcomes.
Serve as a trusted advisor to senior leaders by providing strategic insights, trend analysis, and data-driven recommendations.
Lead enterprise initiatives involving predictive analytics, machine learning, artificial intelligence, and other advanced analytical capabilities.
Oversee data governance, data quality, data management, and data security initiatives to ensure the integrity, consistency, and accessibility of organizational data.
Collaborate with Information Technology and business teams on data architecture, data warehousing, data integration, and analytics platform strategies.
Drive adoption of self-service analytics capabilities and promote data literacy across the organization.
Lead, develop, and mentor a high-performing team of analytics, business intelligence, and data management professionals.
Manage analytics priorities, resources, budgets, vendor relationships, and project portfolios to ensure successful execution and measurable business impact.
Evaluate emerging technologies and industry trends to continuously improve analytics capabilities and organizational effectiveness.