As a Data Engineering Manager focused on Analytics Engagements here at Advanced Materials, you will be responsible for overseeing the delivery and support of analytics solutions across all business functions while ensuring high-quality data management practices.
You will report to our Director of Gen AI, Data & Analytics Leader who oversees our enterprise data strategy, delivery and platform operations.
In this role, you will have significant impact driving business value through analytics by aligning technical capabilities with business needs. You will be instrumental in ensuring data quality, managing analytics project delivery & prioritization, and fostering strong relationships with business stakeholders.
YOU MUST HAVE
- Bachelor s or Master s degree in computer science, Engineering, Applied Mathematics or related field.
- Minimum 10 years of progressive experience in Data and Analytics with demonstrated business impact across multiple functional domains.
- Intermediate-level proficiency in languages such as SQL, Python and Spark with advanced knowledge of modern data engineering tools and practices.
- Strong business process and domain knowledge across multiple functions with demonstrated ability to turn business requirements into analytics solutions.
- Prior experience with enterprise-scale platforms:
- Snowflake or similar Data Warehouses
- Databricks or similar AI/ML Platforms
- Informatica Intelligent Cloud Services, HVR, Fivetran or similar Data Ingestion and Transformation Tools
WE VALUE
- Experience and domain knowledge of enterprise systems of record such as SAP, Salesforce CRM, eCommerce Systems, and associated E2E processes etc.
- Strong background in enterprise analytics with measurable business outcomes for domains such as Commercial, Finance, Supply Chain, Customer Experience and others.
- Proficient in converting complex business insights into relevant data products, while maintaining effective relationships with business partners.
- Experience implementing quality assurance and user acceptance testing processes for analytics deliverables
- Strong experience in requirements gathering, project prioritization, and managing competing business demands
- Exceptional presentation and communication skills with ability to influence at all levels of the organization
- Demonstrated success in managing initiatives across organizational boundaries and building consensus.
- Experience managing vendor relationships and service transitions.
- Familiarity with IT Operations, ITIL practices and other service management frameworks.
- Ownership and Pride in your work and willingness to work in a diverse, cross-functional environment.
YOU MUST HAVE
- Bachelor s or Master s degree in computer science, Engineering, Applied Mathematics or related field.
- Minimum 10 years of progressive experience in Data and Analytics with demonstrated business impact across multiple functional domains.
- Intermediate-level proficiency in languages such as SQL, Python and Spark with advanced knowledge of modern data engineering tools and practices.
- Strong business process and domain knowledge across multiple functions with demonstrated ability to turn business requirements into analytics solutions.
- Prior experience with enterprise-scale platforms:
- Snowflake or similar Data Warehouses
- Databricks or similar AI/ML Platforms
- Informatica Intelligent Cloud Services, HVR, Fivetran or similar Data Ingestion and Transformation Tools
WE VALUE
- Experience and domain knowledge of enterprise systems of record such as SAP, Salesforce CRM, eCommerce Systems, and associated E2E processes etc.
- Strong background in enterprise analytics with measurable business outcomes for domains such as Commercial, Finance, Supply Chain, Customer Experience and others.
- Proficient in converting complex business insights into relevant data products, while maintaining effective relationships with business partners.
- Experience implementing quality assurance and user acceptance testing processes for analytics deliverables
- Strong experience in requirements gathering, project prioritization, and managing competing business demands
- Exceptional presentation and communication skills with ability to influence at all levels of the organization
- Demonstrated success in managing initiatives across organizational boundaries and building consensus.
- Experience managing vendor relationships and service transitions.
- Familiarity with IT Operations, ITIL practices and other service management frameworks.
- Ownership and Pride in your work and willingness to work in a diverse, cross-functional environment.
KEY RESPONSIBILITIES
-
Business Domain Leadership:
Offer functional expertise in Commercial, Finance, Supply Chain, Customer Experience, and other areas. Identify strategic analytics opportunities and build executive relationships. -
Data Warehousing & Engineering, Development and Support:
Lead development, delivery and support for Enterprise Data Warehouse, Analytics, DataOps, Data/AI Applications, and pipelines -
Technical Leadership & Development:
Manage and mentor technical contract service workers while establishing standards, innovative approaches and best practices, fostering excellence -
Data Architecture, Ops & Governance:
Oversee Metadata catalogs and report enhancement initiatives while establishing data quality standards. Lead efforts in observability, and lineage tracking to maintain high integrity in AI/ML datasets -
Innovation & Strategy:
Identify whitespace opportunities for analytics & data engineering, manage idea backlogs, and drive strategic initiatives that deliver measurable business value -
Stakeholder Engagement:
Lead business committees, manage expectations, and establish strong partnerships between technical teams and business functions -
Requirements Management:
Optimize analytics asset inventory and streamline gathering processes to ensure high-quality, business-aligned deliverables -
Vendor & Service Management:
Establish frameworks for vendor management and technical escalation procedures with clear accountability
KEY RESPONSIBILITIES
-
Business Domain Leadership:
Offer functional expertise in Commercial, Finance, Supply Chain, Customer Experience, and other areas. Identify strategic analytics opportunities and build executive relationships. -
Data Warehousing & Engineering, Development and Support:
Lead development, delivery and support for Enterprise Data Warehouse, Analytics, DataOps, Data/AI Applications, and pipelines -
Technical Leadership & Development:
Manage and mentor technical contract service workers while establishing standards, innovative approaches and best practices, fostering excellence -
Data Architecture, Ops & Governance:
Oversee Metadata catalogs and report enhancement initiatives while establishing data quality standards. Lead efforts in observability, and lineage tracking to maintain high integrity in AI/ML datasets -
Innovation & Strategy:
Identify whitespace opportunities for analytics & data engineering, manage idea backlogs, and drive strategic initiatives that deliver measurable business value -
Stakeholder Engagement:
Lead business committees, manage expectations, and establish strong partnerships between technical teams and business functions -
Requirements Management:
Optimize analytics asset inventory and streamline gathering processes to ensure high-quality, business-aligned deliverables -
Vendor & Service Management:
Establish frameworks for vendor management and technical escalation procedures with clear accountability
