Senior App & AI Business System Analyst
DocuSign
- Location
- Bengaluru, India
- Employment
- Full Time
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 71 approvals (FY2023)
Skills
About this role
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