Data Implementation Engineer, ODAIA
CA$90-110k
+ Stock options
AI-powered intelligence for pharma commerical teams
Job no longer available
AI-powered intelligence for pharma commerical teams
101-200 employees
Job no longer available
CA$90-110k
+ Stock options
101-200 employees
Company mission
To reduce patients time to therapy by enabling meaningful interactions with healthcare providers, powered by AI-driven, human-centric software.
Role
Who you are
- 3+ years of experience with data migration, ETL, and pipeline tools
- 3+ years of hands-on experience with Snowflake and AWS (e.g., Glue, S3), or equivalent cloud data infrastructure
- Strong proficiency in Python and SQL
- Experience with APIs and integration frameworks
- Familiarity with orchestration tools (e.g., Dagster, Airflow) and config-driven/declarative pipeline systems (e.g., dbt) is a strong asset
- Strong problem-solving skills and a customer-centric mindset, comfortable owning ambiguous technical problems directly with customers
- Excellent communication skills, able to translate between technical and non-technical stakeholders
- Experience in the life sciences/pharma industry, including familiarity with tools like Veeva Vault or Salesforce, is a strong asset
What the job involves
- As a Data Implementation Engineer reporting to the Manager, Technical Implementations, you will play a critical role in configuring and implementing our AI-driven platform to enable our customer’s success
- You will partner closely with the Business Acceleration and Engineering teams throughout the entirety of the customer lifecycle and be responsible for managing all data-related activities
- The ideal candidate will have strong technical fluency - especially in data analysis, querying, and ETL
- Work directly with customers to discover, assess, and integrate their data assets into our platform
- Collaborate with customers, our support team, and other internal teams to define technical requirements and triage reported issues for each implementation
- Configure and deploy platform solutions tailored to each customer, connecting seamlessly with their existing systems
- Build and maintain automated ETL workflows, using tools like Snowflake and AWS Glue, to enable repeatable, high-quality data ingestion
- Troubleshoot issues across the data pipeline - from ingestion and transformation through orchestration and system configuration - leading resolution efforts
- Own the weekly data delivery cycle for assigned customers, proactively resolving issues to keep deliveries on time and error-free
- Identify recurring manual work in the implementation and delivery process - including manual trigger steps - and automate it to improve scalability
- Uphold data security and privacy protocols in line with industry standards
Application process
- Please include a cover letter with your application outlining your relevant experience and interest in this role, you can describe a project you’ve worked on that relates to one of the “What you bring” or “What you will do” points, and share how you’d expand on it here at ODAIA
Our take
ODAIA have been growing fast in recent years. The company began in the University of Toronto with an intensive period of R&D in AI, journey mapping, and process mining. From there, the ODAIA commercial insights platform for the pharmaceuticals industry was born. Its MAPTUAL solution uses AI and predictive analytics on a vast spread of data to segment and target physicians, thereby driving up customer engagement.
Its rapid growth can be put down, in part, to a widespread shift in the way healthcare providers (HCPs) interact with Pharma, precipitated by the COVID pandemic. With on-site visits restricted, pharma reps needed to seek out different ways of forging meaningful client connections. What we’re seeing now is pharma messaging developing into more detailed, tailored forms of HCP support. As we’ve seen with marketing more generally, big data analytics is a phenomenally powerful tool for maintaining this competitive, tailored edge and funding awarded in 2023 proves that ODAIA's AI is being tipped as a solution for the "bottleneck" in pharma delivery and testing.
This means that ODAIA is blazing what is likely to prove an impressive trail in the new model of Pharma/HCP relations. Offering a more streamlined, modern method of targeting and value production, ODAIA is likely to prove an increasingly crucial player going forward in a highly lucrative market.
Steph
Company Specialist at Welcome to the Jungle
Insights
49% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
May 2023
$25m
SERIES B
Feb 2022
$13.8m
SERIES A
Total funding: $43.4m
Company benefits
- Flexible Working Hours: We focus on what we achieve and not the number of hours we clock. We trust our employees and empower them to shape their work themselves so that they can achieve the best possible results
- Remote Work: We are a remote-first company with plans for in-person collaborative work sessions post-covid. We leverage many synchronous and asynchronous communication tools as well
- Flex Vacation Policy: Our employees can take time off whenever they want - as long as they get their work done, get the time approved, and get things covered while they're away. One of our core values is trusting and respecting each other.
- Leadership Opportunities: If you’re willing to invest in yourself, we’re willing to invest in you! As a fast growing company, there's lots of opportunity for career advancement and personal development.
- Health Benefits: We offer top-notch health benefits for medical, dental, vision care, prescription drug coverage, travel insurance and alternative treatments such as acupuncture and chiropractic services.
Company HQ
Financial District, Toronto, ON
Leadership
Philip Poulidis
(Co-Founder & CEO)Veteran public company executive leader, board member, and startup CEO with experience in the IoT, Semiconductor, Digital Health, and Enterprise SaaS markets.
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