Workday Data Conversion Lead (Remote – 12 Months) Job In Canada
In the role of Data Conversion Lead, you are not just overseeing data migration; you are leading a transformative process crucial to the organization’s successful adoption of its new Workday Financial System. Your role demands a unique blend of technical expertise and problem-solving agility, as you create a seamless pathway for data from legacy systems to migrate to Workday, ensuring high data quality and alignment with AMA’s financial operations.
This position is ideal for someone who thrives on finding clarity in complexity, transforming raw data into organized, accurate insights that empower business processes. As a collaborative, detail-oriented leader, you are accountable for every step in the data conversion process-from extraction and transformation to loading-working closely with both technical teams and business stakeholders.
Your analytical mindset, coupled with a passion for data and technology, enables you to tackle challenges methodically and creatively, always with an eye on enhancing business outcomes. This is more than a technical role; it’s an opportunity to impact how data drives decision-making within the organization, making you an essential contributor to AMA’s future success.
Position Overview:
You’re someone who views complex challenges as intriguing puzzles, ready to be tackled with the power of data and technology. In your role as the Data Conversion Lead, you’ll play a pivotal part in helping to shape the successful rollout of AMA’s new Workday Financial System. In this capacity, you’ll join forces with the Workday Project Team, which includes both internal business stakeholders and technical experts, to design, develop and implement a data conversion strategy tailored specifically for this Workday Financial System deployment.
As a key player, you’ll employ your analytical skills, attention to detail and extensive experience with data conversion to support all phases of the project. Your core objective is to ensure the smooth transition of data from legacy systems to Workday, aligning the project requirements with accurate, high-quality data migration practices. Each day will bring fresh challenges as you strive to devise practical solutions to complex data conversion obstacles, contributing to the successful launch and adoption of this advanced financial system.
Key Attributes That Drive Your Success
Several qualities uniquely position you for this role. Here’s a closer look at the skills and mindset that will empower you to excel as the Data Conversion Lead:
- A Passion for Simplification and Communication
You’re someone who inherently enjoys breaking down complex problems and distilling them into easily understandable solutions. Whether it’s in the context of technical data, software implementation or process improvement, your ability to clearly explain intricate concepts is second nature to you. It’s not just about solving the problem for yourself; you find satisfaction in communicating these solutions in ways that other stakeholders, even those without a technical background, can fully grasp and appreciate. - Viewing Data as Opportunity
You see more than just tables or datasets. For you, data presents an array of possibilities to drive enhancement and transformation. Your problem-solving mindset means you rarely view data as static; instead, you see it as a tool for change. This perspective fuels your determination to leverage the data within AMA’s systems to uncover efficiencies and solutions that align with the organization’s broader goals. - Curiosity-Driven Client Engagement
You thrive on engaging with clients and end-users alike, gaining a comprehensive understanding of their objectives and challenges. The questions you ask are meant to drive deeper insights and your inquisitive nature enables you to accurately interpret client needs. This approach allows you to tailor data conversion strategies that not only address but anticipate the business needs of AMA’s Workday deployment. - Composure Under Pressure
High-stakes projects don’t intimidate you. You handle intense deadlines with a calm demeanor, allowing you to retain a clear focus on the task at hand. Your commitment to delivering results on time, even under pressure, reflects a high level of professionalism and discipline. Regardless of how tight a timeline might be, your organized approach means you consistently meet expectations. - Interest in Technology and Business Solutions
Your passion for technology is fueled by a belief in its potential to enhance and simplify business operations. For you, the data conversion process is about more than just technical steps; it’s an opportunity to add real value to the organization by using data to solve critical business challenges. - Collaborative Spirit
You’re a strong advocate for the power of teamwork. You value open communication and enjoy bouncing ideas off colleagues, understanding that collaborative efforts often lead to the best solutions. Working in tandem with others allows you to develop robust strategies that integrate diverse perspectives, thereby strengthening the overall project outcomes. - Organization and Precision
Known for your meticulous attention to detail, you juggle multiple tasks and manage project timelines with impressive efficiency. Your organizational skills aren’t limited to managing your workload; they also enable you to streamline project processes, reducing the chance of error and ensuring that all aspects of the project remain on track. Your colleagues appreciate your ability to stay organized, as it helps keep the entire team aligned and focused on project goals.
Core Responsibilities
In your capacity as Data Conversion Lead, your responsibilities will encompass several critical areas. These include overseeing the data conversion process, ensuring data quality and executing project tasks with technical accuracy. Below is an overview of the primary duties you will undertake:
- Project Leadership and Oversight
As a primary figure within the data conversion team, you’ll report to the Project Technical Lead, collaborating closely to align project timelines, objectives and resources. You will assume responsibility for the quality and timeliness of all Workday Data Conversion deliverables, ensuring they meet AMA’s standards and align with the project goals. - Data Conversion Strategy Development
Designing a data conversion strategy will be one of your central tasks. This strategy will include a step-by-step plan for converting legacy data into the new Workday system, a vital aspect for ensuring continuity and data integrity. You’ll be expected to consider various factors when formulating this strategy, such as data compatibility, validation requirements and potential data cleansing needs. By crafting a thoughtful and comprehensive strategy, you’ll lay the groundwork for a smooth and efficient data transition. - Data Quality Assessment and Cleansing
Maintaining high data quality standards is essential for the success of this project. You will conduct thorough data quality assessments to identify and address any potential discrepancies or inaccuracies. Based on these assessments, you’ll devise targeted data cleansing approaches to rectify issues before conversion. This responsibility requires a keen eye for detail and a proactive approach to problem-solving, ensuring that the data loaded into Workday is both accurate and reliable. - Requirements Gathering and Logic Derivation
To develop effective data conversion logic, you will work closely with stakeholders to gather requirements and review design documents. This step is critical, as it provides the foundation for the data transformation rules you’ll implement. By engaging with various stakeholders, you’ll gain insights into business processes, ensuring that the data transformation aligns with operational needs and project objectives. - Participation in Workday Implementation Activities
As a key team member in the Workday deployment, you’ll be actively involved in implementation activities, contributing your expertise to ensure smooth data migration and integration. This will likely involve close coordination with the Workday Data Conversion team, technical specialists and business analysts to ensure that the data migration aligns seamlessly with the broader system implementation. - End-to-End ETL Process Management
You will be accountable for the entire Extract, Transform and Load (ETL) process. This encompasses the following phases:
- Data Extraction: Pulling relevant data from legacy systems, ensuring it meets the initial requirements for conversion.
- Data Transformation: Applying agreed-upon logic to transform the extracted data, making it compatible with Workday’s system structure and standards.
- Data Loading: Collaborating with the Workday Data Conversion team to load the transformed data into the Workday environment, which will likely involve working across various tenant environments as the project progresses.
Required Experience and Qualifications
This role requires a unique combination of technical knowledge, project management skills and hands-on experience with data conversion in Workday Finance deployments. Here’s what you’ll need to bring to the table:
- Workday Finance Deployment Experience
Prior experience with a Workday Finance deployment is essential. You should be well-versed in Workday’s data loading processes and data loading workbooks, as well as the unique considerations involved in a financial system deployment. Familiarity with Workday’s specific requirements and best practices will be key to your success in this role. - Expertise in Financial Data ETL Processes
You should have a proven track record in extracting, transforming and loading financial data from legacy systems into a Workday Finance environment. This includes experience handling historical financial data, which may require additional steps to ensure data accuracy and continuity. Your past work with ETL processes in a financial context will enable you to navigate the unique challenges of this project effectively. - SQL Database Knowledge
A strong foundation in SQL databases is a must, as this role requires extracting and managing data stored in SQL systems. Your ability to work with SQL queries and manage database extraction will be crucial to the successful migration of financial data into the Workday system. - Workday Tools Proficiency (Bonus)
While not a strict requirement, familiarity with Workday’s suite of tools used in data conversion is an asset. If you have expertise in the tools utilized for Workday data conversion tasks, it will give you an additional edge in executing your responsibilities more efficiently.
Work Model
The position follows a hybrid-light model, offering the flexibility to balance in-office collaboration with remote work. This setup allows you to be present for critical meetings, discussions and team-building activities while also accommodating remote work for tasks that don’t require direct in-person interaction.
Application Process
We appreciate your interest in joining our team. While we review all applications, we’ll only contact those selected to move forward in the hiring process. Thank you for considering this opportunity to contribute your expertise to our data conversion efforts at AMA
Frequently Asked Questions
What specific skills are essential for a Data Conversion Lead?
Essential skills include strong knowledge of Workday’s data tools and processes, experience with ETL methodologies, SQL database expertise, attention to data quality and excellent project management abilities. Analytical skills and the ability to communicate complex technical information clearly are also crucial.
Why is prior experience with Workday Finance deployment beneficial?
Prior experience with Workday Finance provides familiarity with its data structures, loading workbooks and system requirements, allowing the lead to handle data migration tasks more effectively. This experience also enables smoother integration with Workday’s financial modules, minimizing potential data discrepancies.
What challenges does a Data Conversion Lead face during implementation?
Challenges include ensuring data integrity across multiple systems, handling large datasets, maintaining data quality under tight deadlines and aligning data transformation logic with project requirements. Collaboration with stakeholders to understand business needs and managing unexpected data issues are also common.
How does the Data Conversion Lead ensure data quality?
Data quality is maintained by conducting thorough data assessments, identifying potential issues and implementing data cleansing strategies before migration. Regular validation and testing are also carried out throughout the ETL process to ensure data accuracy and consistency in Workday.
What is the importance of the ETL process in data conversion?
The ETL process—Extract, Transform, Load—is critical for transferring data from legacy systems to Workday. It involves extracting data from existing sources, transforming it to fit Workday’s formats and standards and loading it accurately into the new system, which is essential for operational continuity.
How does the Data Conversion Lead work with other teams?
The Data Conversion Lead collaborates with the Project Technical Lead, business analysts and other stakeholders to align data migration efforts with project requirements. This teamwork ensures that the data conversion strategy supports organizational goals and meets both technical and business expectations.
What are the key tools used for data conversion in Workday?
Key tools include SQL databases for data extraction, Workday-specific data loading workbooks and various Workday data conversion utilities. Familiarity with these tools enhances the efficiency and accuracy of the data migration process.
How does this role impact the overall success of the Workday Financial System implementation?
The Data Conversion Lead plays a critical role by ensuring accurate data migration, which is foundational for system functionality and user trust. Proper data conversion directly affects the reliability of financial data, enabling the organization to make informed decisions with confidence in the new system.
What is the work model for this position?
The position follows a hybrid-light work model, balancing remote work flexibility with necessary in-office time for meetings and collaborative tasks, ensuring effective teamwork and project coordination.