• 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.

• Preparatory bookkeeping: document capture, account coding, and invoice verification (accounts payable & receivable) • Account reconciliations and travel expense reporting • Support for monthly and annual closing processes • Process documentation and support for our ERP implementation, data migration, and master data maintenance • Budget planning and forecasting, target/actual comparisons, KPI reporting, liquidity and cost management, and ad-hoc analyses • Testing and evaluating AI tools for Finance use cases • Developing new Finance processes and tools using AI — e.g. reporting dashboards or budget planning tools • Integrating AI models with Finance data; data preparation and visualisation