Senior App & AI Business System Analyst

Location

IN-Bangalore, India

Work mode

hybrid

Type

full-time

Department

IT Infrastructure & Operations

Last seen

41s ago

Company Overview Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign’s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM). What you’ll do You solve complex, multi-step challenges and architect scalable solutions across teams, applying deep process expertise and independent analysis to influence decisions and drive meaningful business outcomes. Design, build, and configure intelligent internal applications, automated workflows, and embedded AI tools. Optimize complex business processes by bridging technical execution and leveraging internal data for actionable corporate efficiency. Partner with cross-functional business units (Sales and Partnership) to diagnose operational bottlenecks. This position is an individual contributor role reporting to the Sr. Director, Sales & Partnerships Product Management. Responsibility Leverage subject matter expertise to improve processes and methodologies, architect solutions and independently analyze multi-step challenges, actively identifying opportunities to increase value or reduce risk, and influencing decisions across teams and functions Use subject matter expertise to improve methodologies, policies, and customer solutions Connect teamwork and deliverables to broader business outcomes, identifying opportunities to increase value or reduce risk, especially by leveraging new efficiencies enabled by technology like AI where possible Advise peers and stakeholders by sharing insights, offering constructive feedback, and supporting sound decision-making Navigate cross-functional dependencies by understanding colleagues’ perspectives and priorities, fostering alignment and effective collaboration across teams Lead cross-functional projects to drive team-level objectives, operating as a Trusted Advisor to solve complex problems and set or influence team goals Lead and deliver end to end ongoing work, projects or programs that balance short term results with longer term impact Operate with a high degree of independence, evaluating, adopting, and scaling tools and practices (including AI) to improve organizational efficiency and embed continuous learning, mentorship, and knowledge-sharing Contribute meaningfully as a core team member or DRI for a team or cross functional-project, leading and delivering work that contributes to advancing project goals Actively participate in hiring and developing talent in the team Solve complex, multi-step issues across systems independently, collaborating cross-functionally to deliver practical, scalable solutions Solve complex, multi-step issues that span multiple systems or processes, and help design solutions that reduce recurrence Collaborate across functions to address complex, sometimes ambiguous challenges, leveraging diverse inputs to enhance norms, products, processes, or services Balance creativity with feasibility to deliver practical, scalable solutions Apply a conceptual understanding of AI or ML and systems thinking to orchestrate AI microservices across core enterprise platforms, leveraging proficiency in data reasoning and context engineering to guide intelligent analysis and agile delivery Understand conceptually supervised or unsupervised learning, Large Language Models (LLMs), RAG architecture, and embeddings (Deep coding is not required, but architectural understanding is essential) Query and analyze data using SQL, and interpret statistical outputs, probabilities, and confidence intervals Map how AI microservices interact with core enterprise legacy systems (ERPs, CRMs) via REST APIs Structure enterprise context and business rules to guide AI-assisted analysis and pilot testing Utilize iterative lifecycle frameworks adapted for data science (e.g., CRISP-DM integrated with Agile or Scrum) Job Designation Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation) Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position’s job designation depending on business needs and as permitted by local law. What you bring Basic 8+ years as a Business Systems Analyst, explicitly focused on internal enterprise applications, corporate IT projects, or business process automation Experience with how core business systems (ERP, CRM) interconnect and exchange data via APIs Experience translating internal stakeholder requests into detailed user stories, process flow charts, and clear acceptance criteria Experience in Data Analysis, Data Science or AI and engineering Preferred Experience building assistants, agents, copilots, or AI products that use tools to complete tasks Strong point of view on when an agent should act autonomously, when it should ask for permission, and how to keep users in control Certification in Lean Six Sigma, Agile and Product Management Excellent written and verbal communication skills, with the ability to create clarity and alignment across senior cross-functional stakeholders Life at Docusign Working here Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what’s right, every day. At Docusign, everything is equal. We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you’ll be loved by us, our customers, and the world in which we live. Accommodation Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at [email protected]. If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at [email protected] for assistance. Applicant and Candidate Privacy Notice #LI-Hybrid #LI-BF3

Basic 8+ years as a Business Systems Analyst, explicitly focused on internal enterprise applications, corporate IT projects, or business process automation Experience with how core business systems (ERP, CRM) interconnect and exchange data via APIs Experience translating internal stakeholder requests into detailed user stories, process flow charts, and clear acceptance criteria Experience in Data Analysis, Data Science or AI and engineering Preferred Experience building assistants, agents, copilots, or AI products that use tools to complete tasks Strong point of view on when an agent should act autonomously, when it should ask for permission, and how to keep users in control Certification in Lean Six Sigma, Agile and Product Management Excellent written and verbal communication skills, with the ability to create clarity and alignment across senior cross-functional stakeholders

You solve complex, multi-step challenges and architect scalable solutions across teams, applying deep process expertise and independent analysis to influence decisions and drive meaningful business outcomes. Design, build, and configure intelligent internal applications, automated workflows, and embedded AI tools. Optimize complex business processes by bridging technical execution and leveraging internal data for actionable corporate efficiency. Partner with cross-functional business units (Sales and Partnership) to diagnose operational bottlenecks. This position is an individual contributor role reporting to the Sr. Director, Sales & Partnerships Product Management. Responsibility Leverage subject matter expertise to improve processes and methodologies, architect solutions and independently analyze multi-step challenges, actively identifying opportunities to increase value or reduce risk, and influencing decisions across teams and functions Use subject matter expertise to improve methodologies, policies, and customer solutions Connect teamwork and deliverables to broader business outcomes, identifying opportunities to increase value or reduce risk, especially by leveraging new efficiencies enabled by technology like AI where possible Advise peers and stakeholders by sharing insights, offering constructive feedback, and supporting sound decision-making Navigate cross-functional dependencies by understanding colleagues’ perspectives and priorities, fostering alignment and effective collaboration across teams Lead cross-functional projects to drive team-level objectives, operating as a Trusted Advisor to solve complex problems and set or influence team goals Lead and deliver end to end ongoing work, projects or programs that balance short term results with longer term impact Operate with a high degree of independence, evaluating, adopting, and scaling tools and practices (including AI) to improve organizational efficiency and embed continuous learning, mentorship, and knowledge-sharing Contribute meaningfully as a core team member or DRI for a team or cross functional-project, leading and delivering work that contributes to advancing project goals Actively participate in hiring and developing talent in the team Solve complex, multi-step issues across systems independently, collaborating cross-functionally to deliver practical, scalable solutions Solve complex, multi-step issues that span multiple systems or processes, and help design solutions that reduce recurrence Collaborate across functions to address complex, sometimes ambiguous challenges, leveraging diverse inputs to enhance norms, products, processes, or services Balance creativity with feasibility to deliver practical, scalable solutions Apply a conceptual understanding of AI or ML and systems thinking to orchestrate AI microservices across core enterprise platforms, leveraging proficiency in data reasoning and context engineering to guide intelligent analysis and agile delivery Understand conceptually supervised or unsupervised learning, Large Language Models (LLMs), RAG architecture, and embeddings (Deep coding is not required, but architectural understanding is essential) Query and analyze data using SQL, and interpret statistical outputs, probabilities, and confidence intervals Map how AI microservices interact with core enterprise legacy systems (ERPs, CRMs) via REST APIs Structure enterprise context and business rules to guide AI-assisted analysis and pilot testing Utilize iterative lifecycle frameworks adapted for data science (e.g., CRISP-DM integrated with Agile or Scrum)

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