Role Description Omada has a dedicated AI Transformation & Enablement organization focused on embedding AI directly into how business functions operate. This team deploys senior engineers directly into functions to partner with teams, understand their workflows, and build production AI systems that drive measurable business impact. Finance is the next major deployment. As the Sr. Forward Deployed Engineer supporting Finance, you will operate as the embedded AI engineering partner for the Finance organization: - Attend planning reviews, close cycles, forecasting discussions, operational reviews, and executive preparation processes. - Understand how Finance operates today and how AI can transform it tomorrow. - Own each agent end-to-end: from discovery and prototyping to shipping, monitoring, and iterating. You will partner closely with the Sr. Director, Strategic Finance, who owns the Finance AI roadmap and business prioritization, while remaining part of Omada’s AI Transformation & Enablement engineering organization. This role is highly cross-functional and combines elements of: - AI engineering - Systems integration - Workflow automation - Product thinking - Business partnership - Organizational enablement You will design, build, deploy, monitor, and continuously improve AI-powered systems that help Finance teams operate more efficiently, improve accuracy and consistency, accelerate decision-making, and scale institutional knowledge. The systems you build will operate within a highly regulated and compliance-sensitive environment that includes SOX, HIPAA, security, and data governance considerations. Qualifications - 5+ years of experience building and deploying software, data, automation, or AI-powered applications. - 2+ years of recent hands-on experience building LLM-based or AI-enabled systems in production environments. - Strong experience designing AI workflows including retrieval systems, orchestration patterns, tool usage, evaluation frameworks, and multi-step reasoning systems. - Strong proficiency in Python and experience building production-quality backend services, APIs, integrations, and automation workflows. - Experience integrating enterprise systems and operational data into AI-enabled workflows. Requirements - Experience working with enterprise business systems such as ERP, planning, financial, or operational platforms. - Experience designing retrieval or contextual knowledge systems across large document and metric corpora. - Familiarity with structured and unstructured enterprise data environments. - Understanding of operational monitoring, evaluation, and observability concepts for AI systems. - Excellent communication and stakeholder management skills. - Proven ability to partner directly with non-technical teams and translate business workflows into scalable technical solutions. - Experience enabling business users through training, documentation, and operational coaching. - Comfortable operating within highly cross-functional and rapidly evolving environments. Benefits - Competitive salary with generous annual cash bonus. - Equity grants. - Remote first work from home culture. - Flexible Time Off to help you rest, recharge, and connect with loved ones. - Generous parental leave. - Health, dental, and vision insurance (and above market employer contributions). - 401k retirement savings plan. - Lifestyle Spending Account (LSA). - Mental Health Support Solutions. - ...and more!

• Support the annual budget and lead periodic forecast, and long-range planning cycles, including calendars, templates, assumptions, and consolidation of results. • Serve as a key FP&A business partner to function heads, managing departmental budgets and surfacing variances, risks, and opportunities versus plan. • Own Adaptive Planning administration and enhancement, including model maintenance, data integrity, dashboards, reporting, user support, and process improvements. • Prepare monthly and quarterly actual-to-budget reporting, variance analysis, and management reporting packages, ensuring alignment across NetSuite, Adaptive Planning, and budget owners. • Support commercial FP&A activities related to launch readiness, including analysis of sales force expenses, market access, patient services, T&E, fleet, distribution/3PL, revenue, gross-to-net, inventory, and COGS. • Provide financial analysis for business cases, scenario planning, and resource allocation discussions across R&D, G&A, and commercial functions, delivered in clear, executive-ready materials. • Help build scalable FP&A processes, reporting standards, and planning governance appropriate for a SOX-compliant public company environment.

• Provide strategic guidance on industry trends, technology, and market opportunities • Support evaluation of potential investments and emerging startups • Introduce high-quality founders, investors, and ecosystem partners • Mentor and advise founders within the 16VC portfolio • Contribute to the development of 16VC’s investment theses and ecosystem initiatives

Role Description We are seeking a Manager or Senior Manager of FP&A to serve as a core, hands-on member of the corporate finance team supporting a fast-growing, publicly traded AI data engineering company. This is an ownership role: the individual will own and run key forecasting, budgeting, and modeling workstreams end to end, partner closely with operations and accounting, and help build the financial infrastructure required to scale globally. The role carries significant exposure to executive leadership and strategic decision-making, including M&A and capital allocation, and demands someone who is equally comfortable building the model and communicating the story behind it. What You’ll Own: - Financial modeling (core): Own, build, and continuously improve sophisticated driver-based financial models spanning the consolidated forecast, annual operating plan, and long-range plan, including scenario, sensitivity, and unit-economics analysis to support executive and Board decisions. - Service industry acumen: Apply deep familiarity with services / delivery-based business economics — utilization, billable capacity, project margins, revenue recognition timing, and headcount-to-revenue linkage. - Process ownership: Own defined FP&A processes end to end — from data through analysis to reporting — and drive standardization, automation, and repeatable close and forecast cycles rather than relying on ad hoc effort. - Executive communication: Communicate clearly and credibly with senior leadership and executives, translating complex financial analysis into concise, decision-ready narratives and materials. - Lead the monthly close partnership with Accounting, including variance analysis, revenue reconciliation, and management reporting. - Prepare Board, investor, and executive materials with strict adherence to public-company disclosure discipline. - Partner with operations and delivery leaders to translate operational metrics into financial outcomes. - Support corporate development, including valuation frameworks, diligence support, and deal modeling. - Mentor analysts and contribute to the maturation of the FP&A function. Qualifications - Bachelor's degree in Finance, Accounting, Economics, or a related field; MBA, CPA, or CFA a plus. - Six or more years of progressive FP&A experience (eight or more for Senior Manager), preferably in a public company or high-growth technology or professional-services environment. - Private equity, portfolio-company, or startup / high-growth experience a strong plus. - Advanced financial modeling and Excel skills are essential; experience with modern planning tools (e.g., Adaptive, Pigment, Anaplan) and BI platforms preferred. - Direct experience with pricing, margin analysis, and/or deal economics. - Strong understanding of GAAP, revenue recognition, and SEC reporting considerations. - A hands-on operator who owns processes and builds, not just reviews — comfortable in the detail while keeping the strategic picture in view. - Excellent communication skills, with a proven ability to present financial concepts to non-financial and executive audiences. - Experience supporting M&A or corporate development a strong plus. Requirements - The expected salary range for this position is $150,000 – $175,000 USD per year, based on experience, skills, and qualifications. Company Description Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.