Role Description The primary role of the Consultant, Omnichannel Strategy (HCP) is to lead the customer experience with ODAIA’s products from kickoff to renewal. You will partner closely with commercial, brand, and analytics teams to translate omnichannel performance data into clear recommendations, helping customers optimize campaigns, refine targeting, and demonstrate measurable ROI. What You Will Do - Lead with a Consultant Mindset - Serve as a trusted advisor to commercial, brand, and analytics teams by interpreting Campaign Intelligence insights. - Translate complex outputs into clear narratives and executive-ready insights for senior stakeholders. - Consult with customers on campaign performance across all channels. - Own Customer Strategy & Value Realization - Lead and manage day-to-day campaign strategy, including execution, optimization, and budget actualization. - Partner with customers to refine omnichannel strategies. - Focus on incremental lift and ROI through regular performance reviews. - Drive Engagement & Account Success - Act as the strategic owner of customers’ omnichannel success post-deployment. - Collaborate across the ecosystem, building partnerships with customer agencies and vendors. - Ensure long-term value maximization through continuous education and proactive strategic guidance. - Deliver Structured, High-Impact Projects - Lead strategic testing and experimentation, recommending optimizations to targeting strategies. - Identify gaps in execution or channel strategy and propose updates to campaigns. - Collaborate with Product and Data Science to surface customer feedback. - Enable Change & Adoption - Support organizational change management by helping customers transition to dynamic, insight-led decision-making. - Provide continuous enablement to ensure customer teams can act on performance signals. - Leverage Data & Insights - Apply strong analytical rigor to drive measurable improvements. - Integrate HCP engagement signals and performance data to refine channel strategies. - Drive data-driven decision-making by translating observations into actionable improvements. Qualifications - 4+ years of experience in a client-facing, strategic role within SaaS, analytics, consulting, or technology-driven environments. - Hands-on experience supporting omnichannel marketing, campaign analytics, or commercial strategy within Pharma, Life Sciences, or Healthcare. - Strong ability to interpret complex performance data and translate it into clear recommendations. - Experience advising customers on campaign performance and ongoing optimization. - Deep understanding of the North American pharmaceutical marketing ecosystem. - Proven ability to become a trusted strategic partner to customers and vendors. - Comfort operating in ambiguous environments where strategies evolve based on real-world results. - Strong storytelling and communication skills. - Analytical mindset with a consultative approach. - Highly collaborative, proactive, and action-oriented. - Curious and continuously learning, with a passion for improving omnichannel strategies. - Low ego, high ownership, and motivated to make a meaningful impact. Benefits - Values-Based Culture: We Ignite Innovation, Own It, and Stand Together. - AI-Native Environment: We use AI and agentic automation to enhance efficiency and impact. - Comprehensive Rewards: Meaningful stock option grants, immediate medical/dental enrollment, and flexible time off. - Remote-First Flexibility: WFH flexibility with intentional, high-value in-person collaboration. Location ODAIA is a remote-first organization, with employees located across Canada and the U.S. Our primary office hub is located in central downtown Toronto. Diversity, Equity & Inclusion ODAIA is an equal opportunity employer, committed to building an environment where everyone feels included, valued, respected, and heard. Accommodations and Accessibility Accommodations are available upon request. If you need assistance or accommodation due to a disability or special need at any stage of the recruitment process, please contact us.

• Interacting with various business user groups for gathering requirements • Designing and building HTML emails and templates • Managing email marketing campaigns and optimizing delivery • Designing forms and landing pages • Creating dashboards and reports for campaigns

• Attend and participate in California ISO (CAISO) stakeholder meetings • Write succinct reports, with analysis where appropriate, on important presentations, announcements, discussions, and other developments from stakeholder meetings for internal and external clients • Tailor reporting and analysis according to clients’ commercial interests (e.g., generation, transmission, load, trading) and according to financial, policy, legal, and technical perspectives and considerations • Independently identify and define issues according to clients’ commercial interests • Recommend appropriate courses of action according to clients’ commercial interests • Provide real-time reporting and analysis on developments with immediate and significant commercial impacts on clients • Work closely with clients and conduct regular conference calls • Attract, engage, and support clients through reports and analysis as well as consulting projects related to existing and emerging market design(s) for CAISO and other regions

• As a Data Management Consultant, you'll play a key role with our clients. • You'll develop strategies to maximize their data value and advise on data management. • You'll collaborate directly with both our team of consultants and your clients, working together to identify the organization's data needs and translate them into understandable and workable solutions. • You'll be involved in all phases of the project, from specifying the request to ensuring the solution is successfully implemented within the organization. • Gather information needs and translate business requirements into technical solutions; • Analyze and model existing data landscapes, data sources, and data flows; • Develop ETL processes to access, transform, and load data from various sources; • Design and implement scalable data models and database structures; • Build data pipelines for analytics and machine learning applications; • Support the preparation of technical documentation and advisory reports; • Test and optimize data processes and solutions; • Contribute to workshops and training to support the implementation of data platforms.