Forward Deployed AI Strategist

Sales Operation Analyst

Staff / Senior Engineer Electrical Facility Engineer)

Engineer, Senior (Process Development -Microacoustics Lithography)

Data Analyst

Commercial Finance Manager

Data & ML Architect

TA Supervisor

AVP, Digital Analytics

Business Intelligence Analyst

Role Description: <ul><li>The Strategy team is looking for a hands-on AI-enabled strategy and market intelligence professional to materially accelerate the way we conduct deep research, market intelligence, analytical modeling, and GTM analysis by applying high impact AI workflows and translating them into sharper strategic decisions.</li><li>The individual will partner with business, product, commercial, and tech teams to translate ambiguous questions into actionable insights, while developing and scaling AI-enabled solutions that improve strategic decision-making and drive measurable business impact.&nbsp;</li><li>The individual is expected to work in close partnership with our client IT team, to leverage existing AI &amp; data capabilities on Databricks &amp; AWS (where applicable) while developing solutions.</li></ul> Responsibilities: Strategic problem solving and driving cross-functional execution&nbsp; <ul><li>Translate AI-assisted analyses into practical executive decisions by applying strong business judgment, rigorous validation protocols, and a sharp “so-what” orientation</li><li>Collaborate with and influence senior stakeholders across strategy, sales, technology teams, and P&amp;L owners</li><li>Good first-principles and problem-solving capabilities with the ability to build and test strategic hypotheses Identifying meaningful opportunities to leverage AI and deploying scaled AI solutions at pace</li></ul> Identify, assess, and prioritize high-value AI and automation opportunities by translating business challenges into scalable, practical solutions&nbsp; <ul><li>Design proprietary AI-enabled workflows, agents, and accelerators for recurring strategy activities (competitor monitoring, earnings call tracking, tariff and regulatory intelligence, voice-of-customer mining etc.)</li><li>Build reusable templates, workflows, and modules to drive adoption and embed AI capabilities into strategy processes</li></ul> Executing rapid AI-augmented research and competitive intelligence&nbsp; <ul><li>Lead AI-augmented research using tools like Claude, OpenAI, Perplexity, AlphaSense, CapIQ etc. to deliver source-triangulated competitive and industry insights</li><li>Synthesize structured datasets (S&amp;P Capital IQ, Bloomberg, IDC, Gartner) and unstructured sources (10-Ks, analyst reports, expert interviews) – to generate and validate AI-assisted outputs</li></ul> Support strategy team in day-to-day execution by leveraging AI-led tools <ul><li>Lead AI-enabled market sizing, opportunity mapping, and TAM/SAM/PAM modelling</li><li>Accelerate financial modelling – scenario and sensitivity analyses, valuation, NPV/IRR, segment P&amp;Ls, pricing</li><li>Support M&amp;A pipeline by AI-screening targets and generating investment theses</li></ul> AI enablement, coaching and continuous innovation <ul><li>Coach strategy team members on prompting techniques, research workflows, and AI-fluent execution</li><li>Scale AI adoption across Corporate Strategy through hands-on mentorship of beginner users</li><li>Stay current on agentic stacks, multimodal models, and deep research agents</li></ul> Requirements: Skillset and capabilities AI fluency and hands-on deployment orientation&nbsp; <ul><li>Working knowledge of GenAI patterns – LLM capabilities/limitations, prompt design, etc.</li><li>Proven ability to convert business problems into reusable AI workflows, tools, or accelerators</li><li>Builder mindset with experience prototyping AI solutions using frontier tools &amp; low-code platforms</li></ul> Analytics, modelling, and research excellence <ul><li>Strong modelling skills across TAM/SAM/PAM, scenarios, sensitivities, NPV/IRR, valuation etc.</li><li>Ability to synthesize structured datasets with unstructured sources</li><li>Research discipline – source triangulation and rigorous validation of AI outputs</li></ul> Strategic problem solving, communication, executive presence, and influence&nbsp; <ul><li>Sharp "so-what" orientation to translate AI outputs into practical executive decisions</li><li>Crisp written and verbal communication, with ability to frame board-ready narratives</li><li>Skill in explaining AI workflows and implications to both technical and non-technical audiences</li><li>Stakeholder management across strategy, commercial, data, and technology teams</li></ul> Ownership, and execution <ul><li>Independently own workstreams end-to-end – from framing through deployment</li><li>High bar for quality; never publishes unchecked AI outputs or unvalidated analysis</li></ul> Coaching and capability building&nbsp; <ul><li>Patience and ability to coach colleagues on prompting, research workflows, and source validation</li><li>Track record of building reusable playbooks – templates and training modules that scale adoption</li></ul> Passion, curiosity, and learning agility <ul><li>Deep passion for AI, tech, and industrial innovation, with curiosity to stay current on frontier tools</li><li>Entrepreneurial ownership mindset and drive to build a new AI-enabled strategy capability</li></ul> Qualifications:&nbsp; <ul><li>BE / B-Tech in Computer Science Engineering, Data Science or a related analytical field required; MBA, MS, M-Tech or equivalent advanced degree strongly preferred.</li><li>3–4+ years of experience in AI transformation, analytics, or AI-enabled business building. Prior Forward Deployed Engineer / Solutions Architect / Senior Data Scientist background preferred.</li><li>Experience in a top-tier strategy consulting firm, AI-native consulting team, analytics firm or corporate / product strategy team role strongly preferred.</li><li>Demonstrated experience building or deploying 0–1 AI solutions (not just experimenting), GenAI, analytics, automation, or workflow solutions in a business environment required.</li><li>Proficiency in Excel and PowerPoint required; Python or equivalent scripting capability strongly preferred. Experience with DevOps, CI/CD pipelines, and infra as code (e.g., Jenkins, Docker, Kubernetes) required.</li><li>Proficient in implementing AI platforms like AWS Bedrock, LangGraph, Crew AI, Glean etc.</li><li>Knowledge of enterprise data environments (esp. SAP, Databricks) or cloud platforms (esp. AWS) is a plus. Experience integrating AI systems with enterprise data platforms required.</li><li>Experience with LLM-powered solutions, RAG systems, agentic workflows, AI research tools, or AI-enabled knowledge manage</li></ul>

Responsibilities: <ul><li>Support performance analysis: Assist in conducting in-depth analysis across sales representatives, segments and territories.&nbsp;</li><li>You will help identify trends, pinpoint growth opportunities and diagnose execution gaps to support data-driven improvements.</li><li>Assist with compensation planning: Collaborate with sales operations, leadership and compensation teams.&nbsp;</li><li>You will help gather data and provide analysis for incentive and compensation plans that align with strategic goals and recognize high performance.</li><li>Contribute to quota planning: Support quota planning and development processes.&nbsp;</li><li>You will help with data reviews to ensure transparent and equitable business goals that reflect current market realities.</li><li>Maintain data hygiene: Assist in establishing and following protocols for data accuracy, consistency and security to support trustworthy decision-making across the commercial organization.</li><li>Provide dashboard and reporting support: Contribute to the design, build and maintenance of advanced dashboards and reports.&nbsp;</li><li>You will help ensure sales teams and senior leadership have access to actionable intelligence for business decisions.</li><li>Support market research efforts: Help conduct customer, market and competitor research.&nbsp;</li><li>You will assist in generating timely insights that guide commercial strategies and position company for long-term growth in a competitive market.</li><li>Assist with win/loss analysis: Help analyze deals won and lost to provide strategic insights on pricing.&nbsp;</li><li>You will support identifying drivers of sales outcomes and share recommendations for competitive approaches and sustainable growth.</li><li>Aid in forecast planning: Work with business leaders to support and improve sales forecast planning.&nbsp;</li><li>You will assist in integrating performance metrics, pipeline insights and external market trends to inform resource allocation.</li></ul> Requirements: <ul><li>Relevant educational background in data analytics, sales, revenue operations, marketing, finance, or a related field, including hands-on experience through coursework, projects, or internships.</li><li>Exceptional analytical skills with the ability to solve complex problems using clear and actionable data while translating into actionable business insights</li><li>Excellent communication skills, with the ability to clearly present data insights and recommendations to cross-functional teams and business leaders</li><li>Advanced Microsoft Excel skills, including experience with formulas, pivot tables, data modeling, and large dataset analysis</li><li>Strong organizational and project management skills, with the ability to manage multiple priorities and deadlines in a fast-paced environment</li><li>Deep commitment to ownership, continuous learning and taking proactive steps to improve business outcomes.</li></ul>

Responsibilities: Operate &amp; Maintenance: <ul><li>Leads safe, compliant operation and maintenance of electrical infrastructure, establishes and controls MOS/SOP with strong change management, maintains accurate technical documentation, partners with Engineering, Operations, and EHS on regulatory compliance, drives risk and safety programs (FMEA, LOTO, arc flash, permits), and ensures full standards compliance and audit readiness.</li></ul> Reliability &amp; Risk Management: <ul><li>Drives root cause analysis for electrical disturbances, leads predictive and preventive maintenance programs, and strengthens system reliability to minimize unplanned downtime.</li></ul> Capacity Planning &amp; Tool Install: <ul><li>Plans and manages electrical load models across fab and facilities operations, ensures proper feeder loading, redundancy, and diversity, and reviews/approves designs while overseeing safe energization and commissioning.</li></ul> Projects &amp; Commissioning: <ul><li>Define acceptance criteria, test protocols, and witness critical tests.</li><li>Manage vendor performance and ensure documentation close out (O&amp;Ms, as builts).</li></ul> Power Quality &amp; Energy Performance: <ul><li>Monitor PQ and deploy mitigations (filters, SEMI F47 ride through, UPS tuning).</li><li>Drive energy efficiency projects (e.g., transformer loading optimization, UPS efficiency, busway losses, smart metering analytics).</li></ul> Requirements: <ul><li>At least a Bachelor’s degree in Electrical Engineering or equivalent.</li><li>Minimum 6 years of related work experience in Electrical Engineering within wafer fab/semiconductor</li><li>Experience in high volume manufacturing of electronics components in an MNC or semi-conductor industry.</li><li>Direct working experience in wafer fab facilities will be added advantage.</li><li>Possess strong technical competencies in his field of study.</li><li>Able to work under pressure and with strong commitment at work.</li><li>Experience with software applications such as MS Power Point, Excel and Word.</li></ul>

Responsibilities: Technology Development: <ul><li>Lead and/ or co-work with global process cluster on the development of next generation lithography for microacoustics filter and wafer-level packaging from concept to qualification and manufacturing release.</li><li>Define process requirements, success criteria, design of experiments (DOE), and characterization plans.</li><li>Drive root cause analyses, failure mechanism studies, and improvement loops to achieve performance, yield, and reliability targets.</li><li>Translate product requirements into process specifications and control strategies.</li></ul>&nbsp;Technology Transfer &amp; Ramp: <ul><li>Work with project leader on technology transfer – from pilot line to high volume manufacturing. Adapts to shifting priorities while ensuring deadlines are met.</li><li>Lead and drive technical discussions to onsite process transfer activities, including documentation (PFMEA, etc), training, process replication, and equipment matching.</li><li>Work with process cluster on establishing critical process windows, statistical control limits, and ramp readiness criteria.</li><li>Coordinate and report ramp performance tracking (yield, scrap, cycle time, tool capability) and drive closure of gaps.</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in Engineering (Materials Science, Chemical Engineering, Microelectronics or related fields).</li><li>4+ years of experience in industry environment with broad lithography exposure in handing KrF/ I-line scanner</li><li>Hand-on experiences in metrology including CD-SEM, Overlay, etc.</li><li>Strong lithography skills set on lithography theory, characteristics of photo-resist and corresponding applications, process set-up, optimization and margin improvement.</li><li>Strong skills in DOE, SPC, data analytics, FMEA, troubleshooting.</li><li>Excellent communication, technical documentation, and stakeholder management skills.</li></ul>

Responsibilities: Database Maintenance &amp; Support <ul><li>Assist in the maintenance of relational databases (Oracle, SQL Server).</li><li>Support schema creation, updates, normalization, and performance tuning.</li><li>Monitor data quality, identify inconsistencies, and help ensure data integrity across systems.</li></ul> Data Migration &amp; Platform Transition <ul><li>Support data extraction, transformation, and loading (ETL) during system migrations and platform upgrades.</li><li>Assist in transitioning data between legacy environments and modern systems, including Databricks.</li><li>Validate migrated data and document reconciliation results. Data Analysis &amp; Querying</li><li>Write and execute SQL queries for analysis, verification, and operational needs in Oracle and SQL Server environments.</li><li>Participate in exploratory and diagnostic analysis to uncover trends and support business decisions.</li></ul> Documentation &amp; Governance <ul><li>Maintain accurate documentation of data processes, transformations, and system behaviors.</li><li>Support compliance with organizational standards for data governance and metadata management.</li></ul> Requirements: Required Skills &amp; Qualifications <ul><li>Bachelor’s degree in Computer Science, Data Analytics, Information Systems, Engineering, or related field.</li><li>Foundational understanding of relational database concepts and SQL.</li><li>Introductory experience or coursework using Oracle, SQL Server, or similar RDBMS platforms.</li><li>Strong analytical thinking, attention to detail, and problem solving skills.</li><li>Ability to collaborate with technical teams in a fast paced environment.</li></ul> Preferred Skills &amp; Qualifications <ul><li>Exposure to Databricks or other big data / cloud analytics technologies.</li><li>Understanding of ETL concepts, data pipelines, or data transformation frameworks.</li><li>Familiarity with PL/SQL, SSIS, or other database programming tools.</li><li>Interest in learning modern data lake, delta, or virtualization technologies (e.g., Denodo).</li></ul>

Responsibilities: <ul><li>Own Managerial P&amp;L planning and forecasting, delivering accurate and documented forecasts and budgets</li><li>Lead and own the India FP&amp;A calendar (cross functional view – connected with S&amp;OP and Regional timeline)</li><li>Accountable for managerial P&amp;L reporting in Campari group consolidation system.</li><li>Provide visibility on P&amp;L by SKU / brand / state / channel / customer down to GP and/or CAAP and by account.</li><li>Manage SG&amp;A in collaboration with functional leaders.</li><li>Provide clarity on business performance drivers and variations vs previous forecasts, Budget and prior years</li><li>Pilar of the S&amp;OP process, leading the Volume to value conversion and ensure consistency with commercial planning.</li><li>Provide management relevant and accurate analytics providing visibility on the R&amp;O and as such, enabling effective business decisions.</li><li>Secure integrity of the Depletions/sell out reporting by brand, by state, by channel.</li><li>Understand COGS variances in collaboration with regional supply chain finance team</li><li>Work in close collaboration with controlling team to secure DD and A&amp;P accruals accuracy, documentation and relevance at all time.</li><li>Support Revenue Optimization agenda, partnering commercial team to optimize revenue performance by customers/distributors/channel and maximize profitability.</li><li>Drive internal control &amp; operating efficiency of the promotional program and trade spend.</li><li>Support Key Account managers for trade terms negotiation, providing relevant analytics.</li><li>Develop standardized Value Chain supporting commercial team needs</li><li>Develop sound and reasonable business case for innovation/new product launch/footprint expansion</li><li>Drive ROI analysis for all key initiatives – maximization of investment, share learnings.</li><li>Continually work with functional teams to drive profitable growth and strive for continuous ongoing improvement.</li><li>Drive initiatives through increased focus on the effectiveness and profitability of sales spend and through the proactive identification of profit/growth opportunities.</li><li>Represent finance and challenge financial efficacy in key cross functional forums like Exec reviews, valuation meetings.</li><li>Develop tools to support cross functional team work and decision making and help improvement of internal processes.</li><li>Support projects led by group aiming at improving analytics and efficiencies across finance</li></ul> Requirements: <ul><li>8-10 years experience in commercial finance and FP&amp;A role. Ideally close working experience with sales and marketing/ supply chain in a commercial capacity, preferably in the liquor industry or FMCG.</li><li>Qualification – Chartered Accountant</li><li>Experience in Liquor industry preferred, FMCG essential</li><li>Advanced excel and strong power-point skills</li><li>SAP, Power BI, BPC&nbsp;</li></ul>

Responsibilities: Strategic Leadership: <ul><li>Set the vision and direction for data and AI architecture for project and client.</li><li>Influence enterprise data and AI strategies, driving adoption of best practices in data, ML, and AI architecture.</li><li>Mentor and develop junior architects and engineers, fostering a culture of technical excellence and innovation.</li></ul> Architectural Excellence: <ul><li>Architect and design enterprise-scale data platforms and ML/AI solutions for scalability, reliability, and performance.</li><li>Define and enforce data and ML architecture standards, patterns, and governance frameworks for data pipelines, ML workflows, and analytics platforms.</li><li>Lead solution design for integrating data from diverse sources (streaming, batch, cloud, on-premises) using Azure, AWS, and GCP services.</li></ul> AI &amp; ML Leadership: <ul><li>Architect advanced Data Science, ML and AI solutions, including NLP, RAG LLM and Agentic AI systems.</li><li>Oversee the implementation of MLOps frameworks, ensuring robust deployment, monitoring, and lifecycle management of ML models.</li><li>Evaluate and recommend emerging AI/ML technologies and platforms, driving innovation in intelligent data products.</li><li>Provide Ethical AI leadership to ensure intelligent solutions are implemented when required and in safe methods.</li></ul> Technical Leadership: <ul><li>Oversee data modelling (e.g. medallion architecture), data governance, and quality frameworks. Implementing technical reviews and driving high standards.</li><li>Collaborate with engineering and DevOps teams to establish CI/CD and MLOps architectures using Azure DevOps, Kubernetes, and Terraform.</li><li>Guide the selection and implementation of visualization and analytics tools (Power BI, Tableau, PowerApps).</li></ul> Stakeholder Engagement: <ul><li>Engage with senior stakeholders to translate complex business requirements into technical solutions and strategic roadmaps.</li><li>Ensure all solutions meet security, compliance, and performance standards, and align with enterprise architecture principles.</li></ul> Innovation &amp; Emerging Technologies: <ul><li>Apply modern data and AI architecture patterns (Cloud Native, Steaming/batch ingestion, Agentic AI Design) and leverage platforms such as AI/ML, Big Data, and Data Lakehouse.</li></ul> Requirements: <ul><li>Minimum 8 years’ experience client facing roles specializing in Data and Architecture roles.</li><li>Experience in both Agile and Waterfall project environments.</li><li>Strong stakeholder management and communication skills.</li><li>Security and compliance awareness.</li><li>Industry certifications (e.g., AWS Solution Architect, Azure Data Engineer, GCP Data Engineer).</li><li>Experience mentoring or managing technical teams.</li></ul>

Responsibilities: Execute Hiring Strategies; <ul><li>Collaborate with Regional TA Manager, Business Leaders, HR partners, and Business teams to understand short- and long-term hiring needs.</li><li>Assist in developing and executing hiring plans, executing Global SLAs are aligned with the Business Goals</li><li>Stay informed about industry trends, market conditions, and emerging hiring practices &amp; tool</li></ul> Talent Sourcing &amp; Pipeline Development: <ul><li>Build and maintain a strong pipeline of candidates for various key roles such as NPD, NPI, PDE, MPDE and many more.</li><li>Assist the Regional TA Manager to develop and implement innovative hiring strategies using Market intelligence &amp; Talent Mapping tools.</li><li>Leverage a mix of sourcing channels: Internal/External career sites, social media Hiring such as LinkedIn, TikTok, Instagram, Facebook etc., Job Boards such as JobStreet, Monster</li><li>Familiar with hiring tools such as HireEz, ZoomInfo. Leverage employee referrals, and University hiring</li></ul> Employer Branding &amp; Candidate Engagement: <ul><li>Position the company as an employer of choice in the Engineering, Tech and manufacturing space.</li><li>Create content and campaigns targeting industry professional (e.g., webinars, blog posts, meetups, TechEvents)</li><li>Craft compelling job descriptions and recruitment materials tailored for manufacturing, Production and Engineering professionals</li></ul> Full-Cycle Recruitment: <ul><li>Deliver end-to-end recruitment: sourcing, screening, interviewing, offers &amp; compensation negotiation and onboarding</li><li>Collaborate with hiring managers to define role requirements and ideal candidate profiles.</li><li>Assist implement and monitor structured interview processes, including technical assessments</li></ul> Stakeholder Management: <ul><li>Act as the primary liaison between candidates and internal stakeholders</li><li>Provide regular hiring updates, metrics, and insights to leadership</li></ul> Data-Driven Recruiting: <ul><li>Use analytics to track sourcing effectiveness, time-to-hire, offer acceptance rates, and pipeline health.</li><li>Ensure Global Hiring Metrics, SLA and targets are aligned and achieved</li><li>Publish Daily / Weekly / Monthly / Qtrly reports on the efforts and progress</li><li>Optimize hiring funnel using recruitment metrics and KPI</li></ul> Requirements: <ul><li>Overall 8+ years of experience with Minimum of 5+ years from relevant industry</li><li>Preferably an Engineer of any discipline, but not mandatory (OR) Bachelor’s degree or higher in business administration or related field</li></ul>

Responsibilities: <ul><li>Lead and deliver Digital Measurement Analytics for Digital Platforms in Agile methodology to drive digital data strategy that includes collection &amp; validation of data and reporting.</li><li>Partner with onsite Stakeholders and various process owners in marketing, technology and digital teams to plan and implement strategic priorities.</li><li>Present analytical results and actionable recommendations to key stakeholders on a recurring cadence, and propose innovative analytics solutions to drive business growth and enhance the customer experience.</li><li>Responsible for team’s effective communication, project deliverables, coaching team on adhering to expected timelines, accuracy &amp; compliance with meticulous project management.</li><li>Lead internal initiatives, perform other duties and/or special projects, as assigned.</li></ul> Requirements: <ul><li>Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 4+ years of hands-on relevant Analytics experience.</li><li>Minimum 6+ years of relevant work experience in lieu of specified degree.</li><li>2+ years of experience in Digital or Web Analytics Domain utilizing tools such as Adobe or Google Analytics and 2+ years of experience in SAS or SQL.</li><li>1+ years of Experience in Managing People, Coordinating work, Supervising, Evaluating performance and ensuring employees are trained.</li><li>Minimum 1+ years of experience in Data visualizations tools such as Tableau to drive insights.</li><li>Excellent oral and written communication skills with ability to collaborate, articulate and present solutions cutting across functional/agile teams in a simple yet compelling manner</li></ul>

Responsibilities: <ul><li>Design, develop, and maintain dashboards and reports using Power BI and or Tableau</li><li>Connect to data sources including data warehouses (for example Redshift), ERP systems, and structured datasets</li><li>Prepare and transform data using Power Query, Tableau Prep, or similar tools</li><li>Build and maintain data models and calculations within BI tools to support scalable reporting</li><li>Translate business requirements into clear and effective visualizations and reports</li><li>Analyze data to identify trends, performance gaps, and opportunities for improvement</li><li>Ensure data accuracy by validating outputs against source systems and established definitions</li><li>Support user acceptance testing and incorporate feedback into reporting solutions</li><li>Maintain and enhance existing dashboards to improve usability and performance</li><li>Document key metrics, business logic, and report structures</li><li>Collaborate with cross-functional teams including business stakeholders and technical partners</li></ul> Requirements: <ul><li>Bachelor’s degree in Industrial engineering, Information Technology, Data Analytics, or related field</li><li>3 to 5 years of experience in Business Intelligence, Data Analytics, or Reporting roles</li><li>Experience developing dashboards using Power BI or Tableau</li><li>Experience working with enterprise data sources such as ERP systems or data warehouses</li><li>Experience supporting business or operational analytics, with supply chain exposure considered an advantage</li></ul>

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51 analytics Jobs found

Forward Deployed AI Strategist

Sales Operation Analyst

Staff / Senior Engineer Electrical Facility Engineer)

Engineer, Senior (Process Development -Microacoustics Lithography)

Data Analyst

Commercial Finance Manager

Data & ML Architect

TA Supervisor

AVP, Digital Analytics

Business Intelligence Analyst

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51 analytics Jobs found

Forward Deployed AI Strategist

Sales Operation Analyst

Staff / Senior Engineer Electrical Facility Engineer)

Engineer, Senior (Process Development -Microacoustics Lithography)

Data Analyst

Commercial Finance Manager

Data & ML Architect

TA Supervisor

AVP, Digital Analytics

Business Intelligence Analyst

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

EMPLOYER

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COMPANY

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.