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

• Partner with the CFO, COO, and other senior leaders to provide data-driven insights and recommendations • Analyze operational and financial performance across the organization • Develop dashboards, reports, forecasts, and scenario models that support executive decision-making • Evaluate business line performance, operational efficiency, profitability, and cost-to-serve metrics • Support workforce planning through capacity, utilization, productivity, staffing, and timesheet analyses • Assess operational metrics such as time-per-member, time-per-install, and other measures that inform resource planning and efficiency • Identify trends, risks, and opportunities to improve performance and scalability • Partner closely with the Data & Analytics team to enhance reporting, forecasting, and operational insights • Help establish and evolve key metrics, reporting frameworks, and operational analytics capabilities

Role Description We are looking for an Intern (6-8 weeks) and a Working Student in Finance for at least 6 months. Depending on your background, you'll support our day-to-day Finance operations and help us build AI-powered tools for Finance processes. - 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 Qualifications - tbd Requirements - tbd Benefits - tbd Company Description At Virtual Identity we are passionate about tackling day-to-day problems, solving them digitally and coming up with solutions that are not only fun but – most importantly – useful. For people as well as brands. - We have done so for the past 30 years and are currently counting 150 colleagues across four offices in Munich, Vienna, Freiburg and Porto. - We are always looking for new talents, willing to push digital boundaries as well as their own – through exciting projects, trainings and of course working within a team of motivated colleagues.