Sr. Director, Data, Analytics & Integrations (DAI) - Quaker Houghton

About Us

At Quaker Houghton, we are experts in the development, production and application of industrial process fluids, lubricants and coatings for the manufacturing industry. We have been an integral part in the growth of the world’s largest industrial and manufacturing companies from aerospace and automotive to primary metal and energy. Today, we have a global presence, with our corporate headquarters located in Conshohocken, PA. Quaker Houghton is a global publicly traded company with a unique collaborative culture that supports career growth for its associates and offers competitive compensation and benefit programs.

Reporting directly to the Chief Digital Information Officer (CDIO), the Sr. Director, Data, Analytics, and Integration (DAI) is a pivotal member of the DIT Leadership team, responsible for overseeing the Managed Data, Analytics and Reporting, and Connectivity capabilities. Alongside other Leadership Team members, this individual is expected to extend their leadership beyond their immediate team to foster a cohesive technological and strategic unity within the broader global DIT organization. This role involves close collaboration with Business Technology Solutions, DIT Strategy & Governance, Cybersecurity, and Infrastructure & Operations teams to align data strategies with organizational needs, enhancing decision-making and operational efficiency across the company.

This position focuses on developing and implementing a comprehensive data and AI strategy development and implementation, managing data collection and storage, driving advanced analytics and business intelligence, ensuring seamless inter-system integration, and data governance standards, including Master Data Management. This role plays a crucial role in ensuring that the organization's data assets are leveraged to their full potential, driving significant improvements in business processes and decision-making.

Data & AI Strategy:

• Develop and execute a robust data and AI strategy that supports the organization's long-term goals, optimizing data-driven decision-making processes.
• VISION: Uncover and articulate the full breadth of possibilities of the use of existing/potential data assets and provide a comprehensive vision of how data could be leveraged.
• STRATEGY: Develop a scalable strategy to collect, manage and store, expose and visualize data across the organization and drive enterprise-wide governance and utilization of information as an asset.
• ROADMAP: Create a comprehensive, relevant, pragmatic and fit for purpose roadmap focused on building the foundational data capabilities and democratizing data to all functions

Data Collection & Management:

• Oversee the secure storage and accessibility of data across platforms, including Data Warehouses and Data Lakes. Manage ETL processes and presentation layers to ensure data is accurately collected, stored, and made readily available for analysis.
• Lead implementation of a global data store roadmap (warehouse, ODS, data lake, etc.) that provides the right balance between standardization, quality and availability.
• Discover current and future data sources and execute on a roadmap that will bring data together from data capture, data cleansing, integration, availability and curation.
• Ensure that data infrastructure, including technology platform and the data itself, is sufficiently robust to support the current and emerging needs of the functions.
• Run day-to-day operations to provide timely and reliable data streams
• Ensure process and architecture documentation is created and maintained.

Business Intelligence & Advanced Analytics:

• Lead the development of reports, dashboards, and AI models to transform raw data into actionable insights. Guide the analytics team in leveraging advanced analytical techniques to support business objectives.
• Deliver prioritized data and BI capabilities which will serve as a differentiator in how Quaker Houghton operates
• Assess current and future reporting needs and incorporate into a BI implementation roadmap to standardize and modernize legacy or manual reporting, while providing thought leadership into simplifying and exposing data to enable data driven decision and exception management.
• Lead a program to create a robust, enterprise-wide measurement framework which enables leadership to clearly understand business trajectory, operational readiness, and other key functional KPIs which most matter to the successful measurement & improvement of the organization
• Establish self-service reporting capability and lead change and knowledge management required to democratize BI report development, while maintaining a library of standard data sources and a formal governance of report creation.

Inter-System Integration:

• Ensure seamless communication and data transfer between systems through effective integration solutions such as point-to-point, hub, API, and EDI technologies.
• Assess current system and data integration, develop a plan for accelerating the integration capability across the enterprise
• Lead the implementation of the plan including rationalized and consistent integration tools and technologies along with current and future state integration of key data assets throughout entire data lifecycle

Data Governance:

• Implement, own, and oversee enterprise-wide information architecture, data governance & quality
• Establish processes and systems to understand information readiness identify improvement opportunities
• Establish and enforce master data governance standards and manage Master Data Management (MDM) systems.
• Develop and coordinate data strategies, standardization of reference data, and ensure overall data quality and compliance.

Solution Lifecycle Management:

• Ensure systems and applications are current, functional, and competitive by overseeing their creation, maintenance, enhancement, compliance, security, and eventual sunset.
• Identify and perform continuous application landscape management.
• Ensure auditable execution of security and compliance policies for owned applications.
• Lead the software development lifecycle, implementing best practices to deliver high-quality software solutions efficiently and effectively.
• Enforce rigorous application security and compliance standards across all solutions.

Vendor Management:

• Manage third-party vendors to ensure they meet standards and commitments and contribute effectively to solutions and initiatives.

Leadership:

• Build and lead a team capable of achieving the strategy, fostering a culture of innovation and continuous improvement.

Key education or certification, experience required:

• A Bachelor degree in Information Technology, Business Administration, Computer Science, Data Science or a related field. Masters preferred.
• At least 15 years of experience in a technology leadership role, with a proven track record in product management, SDLC management, and leading technical and BA teams, particularly related to data management, analytics, and systems integration.

General Qualifications/ Requirements

• Mastery of SDLC methodologies, including Agile and DevOps.
• Strong strategic planning and project delivery skills.
• Experience with application security frameworks and compliance regulations.
• Proven leadership abilities in managing diverse and cross-functional technical teams.
• Advanced understanding of business intelligence tools and data analytics platforms.
• Integrating complex systems using modern APIs, ETL tools, and middleware solutions.
• Deep knowledge of data architectures, data modeling, database design development, data mining, and segmentation techniques.

Functional Competencies:

• Strategic and creative thinking which creates value internally and externally
• Engaging and inspiring team leadership, building high performing teams and mobilizing the organization to achieve
• Ability to communicate, challenge and influence effectively in group settings
• Ability to deliver sustained results/projects in a dynamic and fast paced environment
• Vendor Service Management and Organizational Change Management
• Successful Project, Program and Risk Management, with experience in managing large-scale data projects and initiatives
• Proven stakeholder management skills
• Design Thinking, Agile Ways of Working, DevOps
• Strong analytical and problem-solving skills, capable of working effectively with cross-functional teams to translate business needs into data and analytics solutions.
• Articulated experience in data privacy, locally applicable data regulations such as CCPA/GDPR, and emerging trends

What's in it for you

• Hybrid work environment
• Competitive pay programs with excellent career growth trajectory
• Paid time off for volunteerism
• Dress for your day; how you dress is determined by what your day may bring
• Opportunity to participate in comprehensive benefit options including: Medical, Dental, Vision, Parental Leave, Holiday Pay, Paid Time Off, Tuition Reimbursement, and Savings Plan
• Work for a global leader in the industrial process fluids industry

Quaker Houghton provides equal employment opportunity for all qualified candidates. Quaker Houghton does not discriminate against any candidate for employment based on race, color, religion, sex, gender, gender identity or expression, affectional or sexual orientation, pregnancy, age, creed, ancestry, national origin, citizenship, marital or domestic partnership or civil union status, veteran’s status, physical/mental disability, genetic information, or any other category protected by U.S federal, state, and/or local employment law. Furthermore, Quaker Houghton is committed to providing reasonable accommodations to qualified candidates with physical and/or mental disabilities.

#LI-Hybrid