Senior Data Engineer building Azure pipelines, data platforms, and ML workflows for Manulife’s retirement operations. Supporting trusted analytics across North American teams.
About the role
- Senior Data Management Architect advising complex organizations on Workiva’s AI-powered finance, risk, and sustainability platform. Designing integrations, reporting, and scalable data workflows for customer success.
Responsibilities
- Collaborate with customers to understand business needs, data requirements, and desired outcomes with Workiva solutions
- Partner with the pre-sales team to transition from sales to implementation services and beyond
- Engage with Solution Architects and Customer Success teams throughout onboarding and implementation
- Analyze customer needs and recommend optimal use of Workiva’s Data Management Suite
- Define tasks, contribute to project plans, and monitor consulting project delivery progress
- Review and establish data integration workflows between customer systems and the Workiva platform
- Review and develop data queries and reporting solutions, mentoring stakeholders on leading practices
- Conduct knowledge-sharing sessions for customer and partner application owners
- Review and create documentation for deployed solutions, configurations, and best practices
- Share customer and partner feedback with Product Development and Product Management
- Drive product adoption, customer satisfaction, and overall customer health
- Define expected outcomes and demonstrate value realized by customers and partners
- Document data management features and functionalities for internal and external reference
- Monitor customer and partner environments and stay informed about the Workiva product roadmap
Requirements
- Bachelor’s Degree in a technical field, preferably Computer Science, Computer Engineering, Information Technology, or similar
- 6+ years of related career experience in customer-facing roles
- Bilingual in French or Spanish at Native/Executive level
- Experience with Python for scripting and automation
- Experience integrating or managing SaaS applications and enterprise systems
- Experience with complex, regulated data structures and regulatory requirements
- Experience with ERP, EPM, and enterprise data/analytics platforms
- Foundational knowledge of cloud platforms and modern data architectures
- Experience with Informatica, SSIS, Boomi, MuleSoft, or Workato
- Strong understanding of REST and SOAP APIs, JSON/XML, and scripting-based API execution
- Knowledge of data engineering, data warehousing, ETL processes, and SQL query development
- Strong problem-solving and technical diagnostic skills
- Ability to manage priorities independently
- Excellent written and verbal communication skills, including executive-level presentations
- Ability to build credibility, influence stakeholders, and drive cross-functional alignment
- Demonstrated commitment to customer success and long-term value creation
- Reliable internet access when working remotely
Benefits
- Remote work from any location within the employee’s country of employment
- Flexible choice to work from an office or remotely
- 15% travel for internal meetings
- Reasonable accommodations for applicants with disabilities
- Comprehensive security and privacy training tailored to employees’ roles
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