Strategic Programs Specialist - Product, Data & Agentic AI

Location: Bengaluru / Gurugram / Mumbai

Role Summary

As a Specialist, you will work on defined Agentic AI and data driven product workstreams focused on executive decision support and profitability outcomes. You will translate business needs into product requirements, coordinate delivery, and help improve AI powered capabilities that leverage enterprise data.

The role is weighted toward hands-on product management and Agentic AI execution, from understanding user problems and developing requirements to shaping AI agent behavior through prompt engineering, testing solutions, and partnering with CIO teams to progress capabilities toward production.

Key Responsibilities

Product Management & Product Ownership

Manage defined product workstreams for internal data and Agentic AI products, from problem discovery through testing, release, and adoption

Contribute to product vision, user personas (e.g., executives, finance leaders, delivery leaders), success metrics, and roadmaps

Translate ambiguous business problems into clear product requirements, user stories, acceptance criteria, and prioritized backlog items

Support adoption and continuous improvement by incorporating user feedback, usage insights, and business outcomes

Agentic AI & Prompt Engineering

Design, configure, and improve Agentic AI solutions that interact with enterprise data to answer complex business questions

Develop and refine prompts, agent instructions, workflows, and response quality controls to improve accuracy and executive usability

Execute functional testing and validation of AI agents against leadership scenarios, edge cases, and defined acceptance criteria

Partner with CIO / engineering teams to progress Agentic AI concepts from prototype through testing and production readiness

Enterprise Data driven product design

Apply understanding of the Accenture Economic Model and Finance, HR, and Sales concepts when working with enterprise datasets

Document data inputs, business rules, user requirements, and guardrails needed for trusted AI powered decision support

Help ensure products and agents present data in an intuitive, explainable, and actionable manner for senior leaders

Profitability & Business Impact

Contribute to initiatives that embed profit discipline into day-to-day leadership decision making

Analyze financial drivers, variances, and trends to identify and articulate improvement opportunities

Connect AI and data product requirements to relevant profit levers, value realization measures, and business outcomes

Stakeholder & CIO Collaboration

Coordinate with CIO / Global IT on architecture alignment, data access, security, testing, and deployment requirements

Facilitate collaboration between business stakeholders and technology teams, clarifying requirements and maintaining product intent through delivery

Prepare and communicate product requirements, options, risks, progress, and recommendations clearly to product leads and senior stakeholders

Must-Have Skills & Experience

Demonstrated product management or business analysis experience across internal products, platforms, analytics, or digital solutions

Hands-on experience with Generative AI / Agentic AI, including prompt engineering, testing, or AI workflow design

Ability to analyze enterprise data and translate business needs into product requirements, business rules, and AI behavior

Ability to structure ambiguous problems, work independently on defined workstreams, and deliver in a fast-paced environment

Experience collaborating with CIO / engineering, data, design, or platform teams to deliver data or AI solutions

Strong written and verbal communication, stakeholder coordination, and presentation skills, including interaction with senior stakeholders

Advanced proficiency in Excel and PowerPoint, with working proficiency in Power BI

Good-to-Have Skills

Experience prototyping, testing, or scaling AI agents, copilots, or internal AI products

Familiarity with enterprise systems and datasets across Finance, HR, ERP, Sales, or reporting platforms

Exposure to profitability management, financial drivers, enterprise performance metrics, or value realization

Experience Requirements

7-10 years of relevant experience across product management, business analysis, analytics, AI, technology delivery, or enterprise transformation roles

To be filled by recruiter