Signavio Business Process Specialist

Forward Deployed AI Scientist

Product and Pricing Analyst

Responsibilities: ﻿Process Modelling &amp; Transformation <ul><li>Lead end-to-end business process design, modeling and optimization in Signavio across core SAP modules.</li><li>Build &amp; maintain process architecture, SIPOC, EPC, BPMN 2.0 based process maps and process hierarchies.</li><li>Conduct enterprise-wide process discovery, gap analysis, harmonization, and standardization initiatives.</li></ul> Requirements: <ul><li>8–15 years of experience.&nbsp;</li><li>Chennai location with a hybrid work model.</li><li>Minimum 4 years of hands-on SAP Signavio experience.</li><li>Strong implementation, configuration, and rollout project exposure.</li><li>Individual Contributor (IC) role reporting to the Associate Director.</li><li>Understand Business Processes.</li><li>Create Process Maps in SAP Signavio.</li><li>Improve Existing Processes.</li><li>Support SAP S/4HANA Transformation.</li><li>Work on Process Mining.</li><li>Create Dashboards &amp; KPIs.</li><li>Process Governance.</li><li>Master Data &amp; Exalca Integration 9. Stakeholder Management.</li><li>User Training &amp; Change Management.</li></ul>

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:&nbsp; <ul><li>Maintain accurate pricing records in SAP, including updates for corrections, expirations, and new product entries.&nbsp;&nbsp;</li><li>Assign customers to price lists and ensure proper application of incoterms and shipping conditions.&nbsp;&nbsp;</li><li>Execute mass price changes and communicate updates to all relevant stakeholders.&nbsp;&nbsp;</li><li>Review and process commercial proposals and pricing requests in line with established guidelines.&nbsp;&nbsp;</li><li>Support the administration and execution of sales incentive programs.&nbsp;&nbsp;</li><li>Keep Decision Rights Matrix current and schedule refresher training for pricing-related roles.&nbsp;&nbsp;</li><li>Use profitability tools to generate reports and provide data for margin analysis.&nbsp;&nbsp;</li><li>Assist in building economic value models for new products and applications.&nbsp;&nbsp;</li><li>Monitor and report on market and competitive pricing activities to inform internal teams.&nbsp;</li><li>Support product changes by preparing documentation and ensuring proper communication to stakeholders.&nbsp;&nbsp;</li><li>Gather and organize customer feedback data for reporting and follow-up with relevant teams.&nbsp;&nbsp;</li><li>Provide data mining support for SAP, margin reports, and other tools to assist in pricing and product decisions.&nbsp;&nbsp;</li><li>Track and report progress on product-related projects; assist cross-functional teams in execution.&nbsp;</li></ul> Requirements:&nbsp; <ul><li>Bachelor’s Degree from an accredited college or university required.&nbsp;&nbsp;</li><li>1+ years’ prior work experience in an analytical role; preferably in sales, marketing, product management, pricing and/or supply chain&nbsp;</li><li>Strong computer skills and efficiency in SAP, SharePoint, and Microsoft Office, especially Excel&nbsp;</li><li>Good organization skills, ability to manage several key objectives at the same time.&nbsp;</li><li>Good written and oral presentation skills.</li></ul>

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Signavio Business Process Specialist

Forward Deployed AI Scientist

Product and Pricing Analyst

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Product and Pricing Analyst

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