Global Process Lead - Kinaxis CoE | Supply Chain Transformation | Remote/Hybrid

Position: Global Process Lead - Kinaxis CoE

Location: Fully remote (if outside 50 miles of Beachwood, OH); Hybrid (3 days in-office, 2 days remote) for candidates within 50 miles of Beachwood, OH
Employment Type: Full-Time

Position Overview

The Global Process Lead will be a key contributor to a supply chain digital transformation, focusing on the deployment and adoption of the Kinaxis end-to-end concurrent planning solution across the organization. This role involves supporting the solution design, training, and user adoption of advanced planning tools across multiple businesses and departments, helping to align processes and deliver profitable growth through supply chain efficiency.

Key Responsibilities

• Support the design and deployment of the Kinaxis solution across the organization, ensuring standardization across all businesses.

• Act as gatekeeper on the central governance board for key functionalities, managing the improvement pipeline.

• Partner with business stakeholders to identify pain points, troubleshoot planning issues, and propose long-term solutions.

• Lead solution design efforts for MTO, MTS, CTO, ETO global templates and participate in implementation cycles.

• Develop playbooks and best practice documentation to ensure consistency and process adherence.

• Conduct training sessions, "show and tell" events, and ensure that end-users are equipped to efficiently run their processes.

• Support global design efforts and ensure that key design decisions in the end-to-end planning process are standardized.

• Prioritize requests, confirm requirements, and develop/enhance processes using best practice solutions.

• Support fit-gap analysis for new businesses and assist with solution design for long-term improvements.

• Travel up to 10-25% domestically and internationally, as needed by business requirements.

Required Qualifications

• Bachelor’s degree from an accredited institution.

• At least 7 years of experience in Supply Chain Planning or Operations Management (Demand Planning, Supply & Capacity Planning, Production Planning, Materials Management, Inventory Management, Supplier Collaboration).

• U.S. work authorization (no sponsorship available).

Preferred Qualifications

• Experience with advanced planning tools like Kinaxis RapidResponse, SAP APO/IBP, or O9 solutions.

• Familiarity with ERP systems (SAP ECC, S4, Oracle).

• Experience with large-scale supply chain transformation projects.

• Proven track record in driving user adoption for new system implementations.

• Deep understanding of end-to-end supply chain processes, from planning to execution and SIOP.

• Project Management experience, preferably using Agile or Scrum methodology.

Compensation

• Base Salary Range: $120,075 to $176,110

This position offers an exciting opportunity to be part of a dynamic team shaping the future of supply chain management. The role blends strategic leadership with hands-on solution implementation to drive transformation across the global organization.

Enterprise Analytics Manager, Houston, TX - $140,000 - $180,000

Enterprise Analytics Manager, Houston, TX
Full-Time, Permanent
$140,000 - $180,000
10/20% Bonus + Benefits

MINIMUM QUALIFICATIONS

Education:

• Bachelor’s Degree in Information Systems, Computer Science, Data Science, Business Analytics, or equivalent experience required.

Licenses/Certifications:

• None required.

Experience / Knowledge / Skills:

• Minimum of five (5) years of experience in analytics and information systems, including at least three (3) years in a leadership role.

• Strong oral and written communication skills.

• Customer-focused with a collaborative mindset.

• Results-oriented, capable of thriving in a fast-paced environment and managing multiple projects.

• Excellent interpersonal and time management skills.

• Familiarity with business intelligence tools, data science tools, and dashboard software, including but not limited to:

• Database and Query Languages: SQL, Nomad, Oracle, Vertica, Snowflake

• Visualization Tools: Tableau (preferred), Spotfire, Sisense, Qlik, Microsoft Power BI

• Data Visualization Server Admin Tools: Tableau Core, Data Management Server

• Data Prep/Transformation Tools: Tableau Prep, Hadoop, Alteryx, Trifacta, Talend

• Statistical Tools: R, SAS, SPSS, Matlab, Minitab

• Data Science Tools: Python, R, SAS, dataiku, DataRobot, Anaconda

PRINCIPAL ACCOUNTABILITIES

• Align departmental initiatives with organizational goals to support strategic objectives.

• Lead, motivate, and oversee teams responsible for data collection, modeling, analysis, and insights to drive value.

• Foster transparent communication through departmental and cross-functional meetings with key stakeholders.

• Manage resource needs and promote professional growth within the team by setting and tracking performance goals and development plans.

• Oversee and prioritize analytics requests, strategically managing timelines, deliverables, and resource allocation.

• Collaborate with executive leadership to deliver data-driven insights that align with enterprise goals and priorities.

• Monitor and manage budgets related to analytics projects or operations.

• Serve as an advisor to leadership on analytics strategy and data-driven decision-making.

• Build and maintain relationships with internal and external customers, vendors, and regulatory agencies.

• Oversee the design and delivery of analytics solutions that enable informed decision-making through operational metrics.

• Provide timely updates and executive summaries to leadership and stakeholders.

• Act as a mentor and coach, fostering a culture of collaboration and continuous improvement.

• Establish quality controls and standards to meet organizational expectations and regulatory requirements.

• Ensure compliance with policies, including security, access control, and data privacy standards (e.g., HIPAA).

• Manage foundational analytics tools and systems, ensuring availability, growth, and support.

• Administer and oversee the onboarding of data into the Enterprise Data Warehouse Platform, as well as third-party data submissions.

• Support the growth of analytics capabilities across the organization by promoting transparency and usage of existing tools and products.

• Mentor and train analytics user groups in tools such as Tableau, Business Objects, and SQL.

• Encourage adoption of data-driven decision-making through existing analytical products.

OTHER EXPECTATIONS

• Adhere to organizational policies, procedures, and standards related to quality, productivity, and resource management.

• Promote professional growth through continuing education and skills development.

• Serve as a mentor and resource for less experienced staff.

• Demonstrate a commitment to personalized and efficient service for all stakeholders.

Other duties as assigned.

This version removes specific organizational references and rewrites certain sections to ensure uniqueness. Let me know if additional adjustments are needed!

Global Head of Commercial Data Foundations (VP Level) - Cambridge, MA - $300,000 - $380,000

Global Head of Commercial Data Foundations (VP Level)
Cambridge, MA
$300,000 - $380,000

Job Description

We are committed to delivering next-generation solutions in healthcare, leveraging data insights and responsibly applying AI to drive deeper understanding and faster solutions. The Global Head of Commercial Data Foundations is a critical leadership role responsible for developing and implementing the overall strategy for Commercial Data Foundations, as well as managing all related digital and data products.

Key Responsibilities

• Commercial Data Strategy: Define and execute the strategy for Commercial Data Foundations, ensuring alignment with business priorities and evolving market ecosystems.

• Standardization and Efficiency: Promote simplification, harmonization, and efficiency within the data platform landscape through convergence and integration.

• Future-Ready Solutions: Design strategies to prepare the organization for evolving commercial needs, enabling high-value, data-driven use cases.

• Product Development: Build and manage a portfolio of digital products to enhance Commercial Data Foundations, ensuring scalability and global distribution.

• Collaboration: Work closely with data Centers of Excellence and advanced analytics/AI teams to optimize data tools, platforms, and technologies.

• Data Governance: Partner with data governance leaders across business units to enable robust governance practices.

• Leadership: Oversee a Commercial Data Engineering Center of Excellence, fostering innovation and operational excellence.

Qualifications

• Education: Bachelor’s or advanced degree in Computer Science, Data Science, Information Technology, Statistics, or Business Administration with a focus on Information Systems.

• Experience:

• Proven success in leading digital and technology initiatives within matrix organizations.

• Demonstrated ability to build and manage high-performing teams in diverse markets.

• A strong track record in creating and scaling digital solutions globally.

• Language: Fluency in oral and written English.

Technical Skills

• Data Management: Proficiency in relational databases (e.g., SQL, NoSQL, Graph/Vector Databases) and Data Lakes.

• Data Visualization: Experience with tools like Tableau, Power BI, or Qlik.

• Integration: Expertise in data integration tools (e.g., IICS) and combining data from diverse sources.

• Cloud Platforms: Familiarity with leading cloud environments.

Why Join Us?

• Growth Opportunities: Foster your career development through promotions, lateral moves, and international roles.

• Comprehensive Benefits: Access a robust rewards package, including healthcare, wellness programs, and parental leave.

• Inclusive Culture: Join a diverse team united by a shared mission to drive progress and deliver extraordinary results.

Equal Opportunity

We are dedicated to creating a culturally inclusive and diverse workplace. All qualified applicants will be considered without regard to race, color, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.