Job Title: Pricing Manager Location: India Gurgaon Department: Finance Reports to: VP Pricing Job Summary: We are seeking an experienced and analytical Pricing Manager to lead and manage pricing strategies across our services portfolio. This role is pivotal in driving profitable growth by developing competitive pricing models, responding to RFPs/RFIs , collaborating with sales and solutions teams, and ensuring commercial viability for new and existing business opportunities. Key Responsibilities: Pricing Strategy & Analysis: Design and implement pricing models for various services (F&A, Customer Support, IT Helpdesk, industry specific etc.). Evaluate client requirements, solution designs, and operational costs to build commercially competitive yet profitable pricing. Conduct pricing simulations and sensitivity analyses to assess financial impacts and risk scenarios. Bid & Proposal Support: Work closely with the Solutions, Sales, and Delivery teams to support pricing inputs for RFPs, RFIs, and proactive proposals. Coordinate all commercial aspects during the proposal lifecycle, including cost estimation, rate card preparation, and financial summaries. Prepare client-facing pricing documents and presentations. Financial Modelling: Build robust pricing and financial models (Transaction based, FTE-based, output-based, gainshare models). Include assumptions, cost drivers, SLAs, inflation/escalation, FX impacts, and contractual obligations in models. Analyse margin and profitability metrics (gross margin, EBITDA, payback period). Governance & Compliance: Ensure alignment with corporate pricing guidelines, approval processes, and financial benchmarks. Participate in internal pricing reviews and client governance calls as needed. Maintain pricing database and historical benchmarks for quick reference and intelligence. Market Intelligence: Track competitor pricing trends and customer buying patterns. Provide insights on pricing pressures, deal win-loss analysis, and suggested corrective actions. Qualifications: Bachelor’s degree in finance, Business, Economics, or related field (MBA preferred). 6–10 years of experience in pricing, commercial finance, or solutions roles within the BPO or ITES industry. Strong knowledge of BPO delivery models, cost structures, and operational levers. Proven experience in building complex Excel-based financial models . Understanding of global outsourcing markets (US, UK, EMEA, APAC), FX dynamics, and compliance regulations. Skills & Competencies: Strong analytical and quantitative skills. Excellent communication and stakeholder management. High attention to detail and ability to work under tight timelines. Collaborative mindset with experience working in cross-functional teams. Strategic thinking with a customer and value-based pricing approach. Preferred Tools: Advanced Excel, PowerPoint, and financial modelling tools . Experience with pricing tools (e.g., PROS, Vendavo) or CRM platforms (e.g.,Salesforce) is a plus

Job Title: Head of Analytics & Data Science BPM(Multi-Vertical) Location: India Gurgaon Department: Analytics Reports to: Chief Capability Leader Experience Required : 16+ years (with at least 5 years in senior analytics and data science leadership across multiple industries) Education : Masters or Bachelor's in Data Science, Statistics, Engineering, Business, or related field Job Summary : The Head of Analytics & Data Science will lead the end-to-end data and analytics strategy across multiple BPM industry verticals, delivering actionable insights, digital transformation, and measurable business impact to internal stakeholders and global clients. T his role demands deep expertise in analytics and advanced data science , combined with strong domain knowledge across Shipping & Logistics, Telecom, Insurance, Energy & Utilities, Retail & Diversified, Banking & Financial Services (BFS), Healthcare & Life Sciences, Automotive, and Travel & Leisure. The ideal candidate will drive analytics and data science maturity, scalable delivery models, and innovation through AI/ML, automation, and applied data intelligence . Key Responsibilities : 1. Strategic Analytics & Data Science Leadership Define and execute a unified analytics and data science roadmap aligned with the organizations digital and business transformation goals across all verticals. Champion the integration of advanced data science techniques (predictive modelling, optimization, machine learning) into core business functions. Collaborate with business leaders to embed data-driven decision-making i nto strategic and operational processes. 2. Client-Facing Solutioning & Delivery Serve as the senior advisor to clients, leading discovery sessions, solution design, and execution of advanced data science and analytics programs. Design customized , vertical-specific analytics and AI/ML solutions: Shipping & Logistics : Route optimization, warehouse analytics, predictive delivery Telecom : Churn prediction, usage pattern modelling, customer lifetime value Insurance : Fraud detection, risk scoring, claims analytics Energy & Utilities : Load forecasting, asset health modelling Retail & Diversified : Customer 360, pricing optimization, market basket analysis BFS : Risk modelling, credit scoring, anti-money laundering (AML) analytics Healthcare & Life Sciences : Patient outcome prediction, RWE analytics, care pathway modelling Automotive : Predictive maintenance, quality analytics, connected vehicle data modelling Travel & Leisure : Dynamic pricing, demand forecasting, personalization and loyalty analytics 3. Operational Analytics & Governance Establish and enforce best practices in data science model lifecycle management, data governance, and analytical operations. Drive efficiency and SLA improvements through continuous monitoring, dashboards, and KPI frameworks. Ensure m odel explainability, compliance (e.g., GDPR, HIPAA), and responsible AI principles in delivery. 4. Team Development & Leadership Build and lead high-performance global teams of data scientists, ML engineers, BI developers, and domain experts. Establish Centers of Excellence (CoEs) for analytics and data science by industry vertical and capability. Foster a c ulture of experimentation, innovation, and continuous learning in AI, ML, and data science. 5. Technology & Innovation Enablement Oversee the adoption of best-in-class platforms and tools: BI : Power BI, Tableau, Qlik Data Science & ML: Python, R, SAS, TensorFlow, Scikit-learn Cloud & Big Data: AWS, Azure, GCP, Spark, Databricks Lead initiatives involving generative AI, NLP, and real-time analytics to improve process automation and customer experience. 6. Data Science Excellence Own the design and scaling of ML pipelines, model ops frameworks, and AI-driven workflows across client programs. Introduce innovation in forecasting, classification, clustering, and optimization models. Build partnerships with academic institutions, AI labs, and vendors to continually enhance the firm’s data science maturity. Key Skills & Competencies : Deep multi-vertical expertise with strong domain understanding across listed industries Expertise in data science, statistical modelling, and ML deployment at scale Strong consultative, problem-solving, and solution architecture capabilities Executive presence and stakeholder management with global clients Proven ability to build analytics and data science teams, COEs, and delivery frameworks Preferred Background Senior leadership experience in analytics and data science within a BPM/KPO/Shared Services/Consulting environment Track record of driving data science-led transformation in client engagements Experience delivering programs for US, UK/EU, and APAC markets Familiarity with regulatory requirements and ethical AI standards across industries