Data Implementation Manager, ODAIA
CA$140-175k
+ Stock Option Grants
Commercial insights platform for Pharma
Be an early applicant
Commercial insights platform for Pharma
21-100 employees
Be an early applicant
CA$140-175k
+ Stock Option Grants
21-100 employees
Company mission
ODAIA's mission is to help pharma sales and marketing teams by using AI to understand and predict customer behaviour.
Role
Who you are
- Leadership experience in managing technical teams, particularly in software implementation, customer onboarding, or data integration
- Strong technical foundation: proficiency in Python, SQL, and cloud platforms (AWS preferred)
- Expertise in ETL and data integration with large data technologies such as PySpark and Snowflake
- Experience working with APIs and integration frameworks to connect platforms and automate data flows
- Familiarity with industry-specific tools such as Veeva Vault, Salesforce, and other CRM or data management platforms
- Exceptional problem-solving skills with a customer-centric mindset, ensuring a seamless experience for clients
- Excellent communication and stakeholder management skills, able to bridge the gap between technical and non-technical teams
What the job involves
- As Data Implementation Manager you will lead a team responsible for configuring, implementing, and optimizing our AI-driven platform for customers
- You will oversee technical solution delivery, drive process improvements, and ensure seamless customer onboarding and integration
- Reporting to the Director, Data Management you will act as a key liaison between technical teams and customers, ensuring smooth deployments and high-quality data processing
- Lead and mentor a team of Technical Implementation Specialists, providing guidance and best practices for seamless customer deployments
- Oversee customer onboarding and technical implementations, ensuring a smooth transition and system integration
- Collaborate with clients and internal teams to define technical requirements and tailor solutions to their needs
- Design and optimize ETL workflows, leveraging automation and AI agents to ensure repeatable, high-quality, and cost-efficient recurring data deliveries
- Manage integration of customer data into ODAIA’s platform, ensuring accuracy and performance
- Oversee data ingestion and pipeline configuration to ensure optimal data readiness for ODAIA's commercial intelligence and AI models
- Utilize modern data tools (e.g., PySpark, Snowflake) to explore, troubleshoot, and resolve issues with ETL and system configuration
- Ensure timely and high-quality data deliveries, maintaining data integrity and compliance with industry standards
- Analyze team performance data and team output KPIs to identify bottlenecks, improve implementation processes and increase automation
- Drive cross-functional collaboration, ensuring alignment between customer success, engineering, and product teams
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. Their MAPTUAL solution uses AI and predictive analytics on a vast spread of data to segment and target physicians, thereby driving up customer engagement.
Their 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 at the beginning of 2023 proves that ODAIA's AI is being tipped as a solution for the "bottleneck" in pharma delivery and testing.
This means that ODAIA are 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
- As virtual social events
- 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, and this policy is just one of the ways we show it
- 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 opportunities 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
- Device and WFH Allowance - To ensure a comfortable remote workspace, we provide our employees with an allowance that could be used for enhancing your WFH setup. We are loving our new Apple Silicon Macs
Company HQ
South Core, Toronto, ON
Leadership
Philip Poulidis
(CEO)Veteran public company executive leader, board member, and startup CEO with experience in the IoT, Semiconductor, Digital Health, and Enterprise SaaS markets.
Helen Kontozopoulos
(Chief Tech Evangelist)Has been teaching product development, design, and entrepreneurship for 9 years at the University of Toronto in the Department of Computer Science and the Department of Computer and Mathematical Sciences. Also co-founded UofT's Department of Computer Science Innovation Lab.
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