Tech AI Product Strategy Sr Advisor I

📍 Job Overview

Job Title: Tech AI Product Strategy Sr Advisor I

Company: Fiserv

Location: Pune, Maharashtra, India

Job Type: Full time

Category: Product Management / Technology Strategy (AI/ML)

Date Posted: October 6, 2026

Experience Level: 10+ years

Remote Status: On-site

🚀 Role Summary

• Drive the vision, strategy, and roadmap for cutting-edge AI-driven products, aligning with overarching business objectives and market opportunities.

• Lead cross-functional collaboration with data scientists, engineers, and business stakeholders to ensure the successful development and delivery of AI solutions.

• Define and prioritize product requirements, user stories, and acceptance criteria, translating complex business needs into actionable technical specifications.

• Optimize user experience for AI products through close collaboration with UX/UI designers and by leveraging user feedback and testing.

• Establish and monitor key performance indicators (KPIs) to track product performance and drive continuous improvement cycles.

📝 Enhancement Note: This role is positioned as a Senior Advisor, indicating a significant level of strategic influence and responsibility in shaping the direction of Fiserv's AI product portfolio. The focus on "Tech AI Product Strategy" suggests a blend of technical understanding and strategic foresight, crucial for navigating the rapidly evolving AI landscape within the fintech sector.

📈 Primary Responsibilities

• Define and articulate the product vision, strategy, and goals for AI-driven products, staying abreast of industry trends, emerging technologies, and competitive offerings to inform strategic decisions.

• Develop and maintain a comprehensive product roadmap, detailing key milestones, deliverables, and feature prioritization based on business value, customer feedback, and market dynamics.

• Facilitate seamless communication and collaboration between technical (data scientists, engineers) and non-technical (business stakeholders, marketing, sales) teams to ensure alignment on product development priorities and timelines.

• Gather, refine, and prioritize product requirements from business stakeholders, translating them into clear product requirements, user stories, and acceptance criteria for development teams.

• Work closely with UX/UI designers to ensure intuitive and user-friendly experiences for AI products, incorporating user testing and feedback for iterative improvements.

• Plan and execute successful product launches, coordinating with marketing and sales teams to develop effective messaging and promotional strategies for AI products.

• Establish, track, and analyze key performance indicators (KPIs) for AI products, implementing data-driven strategies for continuous improvement and optimization.

📝 Enhancement Note: The responsibilities highlight a strong emphasis on strategic product planning, cross-functional leadership, and data-driven decision-making, all critical components of effective Product Management within a technology-centric organization like Fiserv. The inclusion of "AI Product Strategy" implies a focus on innovation and future-proofing the company's offerings.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Business, Computer Science, or a related field.

• Master's degree is considered a strong asset. Experience:

• 9+ years of experience in a relevant field, with a proven track record in product management.

• Specific emphasis on AI-driven products is highly desirable.

• Experience with the Software Development Life Cycle (SDLC) and Project Lifecycle. Required Skills:

• Proven experience as a Product Manager, with a strong preference for AI-driven product management.

• Deep understanding of AI technologies, machine learning concepts, and data science principles.

• Proficiency in defining product strategy, vision, and roadmaps.

• Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.

• Excellent communication, presentation, and interpersonal skills, with the ability to effectively engage with diverse stakeholders.

• Demonstrated ability to manage cross-functional teams and deliver products on time and within budget.

• Experience with IVR (Interactive Voice Response), Chat GPT, and Telecommunications-related AI applications. Preferred Skills:

• Hands-on experience with Machine Learning Platforms such as TensorFlow, PyTorch, or Scikit-learn.

• Familiarity with Big Data Platforms like Hadoop, Spark, or Databricks.

• Experience with Data Analytics and Visualization Tools such as Tableau, Power BI, or Looker.

• Knowledge of cloud-based AI deployment services, including AWS AI, Google Cloud AI, and Azure AI.

• Understanding of Data Warehousing solutions like Snowflake, Google BigQuery, or Amazon Redshift.

📝 Enhancement Note: The requirement for 9+ years of experience, coupled with a Bachelor's degree and a preference for a Master's, positions this role at a senior level. The specific mention of IVR, Chat GPT, and Telecom indicates a focus on conversational AI and communication technologies within Fiserv's fintech offerings. The preferred skills list points towards a need for hands-on technical understanding of AI/ML infrastructure and tools.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrated ability to define and execute product strategies for AI/ML initiatives, showcasing a clear understanding of product lifecycle management from ideation to launch and iteration.

• Case studies detailing successful product roadmap development, feature prioritization, and execution of complex technical projects, preferably in the AI/ML domain.

• Examples of requirements gathering and documentation, illustrating the ability to translate business needs into clear, actionable user stories and technical specifications.

• Evidence of cross-functional team leadership and collaboration, highlighting the ability to align diverse teams towards a common product goal.

• Metrics-driven achievements showcasing how products have met or exceeded KPIs, with a focus on user adoption, performance improvements, or business impact. Process Documentation:

• Documentation of product strategy frameworks and methodologies used for AI product development.

• Examples of roadmap planning documents, including prioritization matrices and release plans.

• Case studies demonstrating the process of gathering and prioritizing user requirements, ideally with examples of user stories and acceptance criteria.

• Documentation of collaboration processes with engineering, data science, and UX/UI teams, including communication protocols and feedback loops.

• Examples of performance monitoring frameworks and continuous improvement processes for AI products.

📝 Enhancement Note: For a Senior Advisor role in AI Product Strategy, a portfolio is crucial. It should not only showcase past successes but also demonstrate a structured approach to product development, strategic thinking, and the ability to articulate complex AI concepts clearly. The emphasis on metrics and KPIs is key to proving impact.

💵 Compensation & Benefits

Salary Range:

• Based on industry benchmarks for a Senior Advisor/Product Manager role with 10+ years of experience in AI Product Strategy in Pune, India, the estimated annual salary range is ₹2,500,000 to ₹4,500,000. This estimate considers the specialized nature of AI/ML expertise, the seniority of the role, and the cost of living in Pune. Benefits:

• Comprehensive health insurance coverage (medical, dental, vision).

• Retirement savings plan (e.g., Provident Fund).

• Paid time off, including vacation days, sick leave, and holidays.

• Professional development opportunities, including training, certifications, and conference attendance.

• Potential for performance-based bonuses.

• Employee assistance programs.

• Opportunities for international travel to Fiserv offices (up to 30% travel). Working Hours:

• Standard full-time work week, typically 40 hours per week.

• Flexibility may be offered, but core hours are expected for cross-functional collaboration.

📝 Enhancement Note: The salary estimate is based on research of similar roles in the Pune region, factoring in the experience level and specialized skills in AI Product Strategy. The benefits listed are standard for large multinational corporations like Fiserv, with a particular note on the travel requirement relevant to the role.

🎯 Team & Company Context

🏢 Company Culture

Industry: Fintech and Payments. Fiserv is a global leader in providing financial technology solutions, connecting financial institutions, merchants, and consumers. This context means the company operates in a highly regulated, fast-paced, and innovation-driven environment where security and reliability are paramount.

Company Size: Large enterprise, indicated by the extensive job posting infrastructure and global presence. Fiserv likely has thousands of employees worldwide, offering stability and ample opportunities for career growth and cross-functional exposure.

Founded: Fiserv was founded in 1984. With a long history, the company combines established expertise with a forward-looking approach, particularly in adopting new technologies like AI to enhance its service offerings.

Team Structure:

• The AI Product Strategy team is likely part of a larger Product Management or Technology division.

• This role will involve close collaboration with Data Science, Engineering, UX/UI Design, Marketing, Sales, and other business units.

• The reporting structure will likely place the Sr. Advisor under a Director or VP of Product Management or AI/Technology. Methodology:

• Data-driven decision-making is central to product strategy, especially in AI, requiring rigorous analysis of market trends, customer feedback, and product performance metrics.

• Agile methodologies are commonly employed for product development, emphasizing iterative progress, collaboration, and adaptability.

• A strong focus on customer-centricity ensures that AI solutions address real-world problems and deliver tangible value.

Company Website: https://www.fiserv.com/

📝 Enhancement Note: Understanding Fiserv's position as a fintech leader is crucial. The AI Product Strategy role will operate within this context, meaning solutions must be robust, secure, and compliant with financial regulations. The company's long history suggests a blend of established processes and a drive for innovation.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior Advisor role, signifying a high level of expertise and strategic responsibility. Candidates are expected to operate with a significant degree of autonomy, provide thought leadership, and influence product direction. It's a critical individual contributor role with leadership potential.

Reporting Structure: The Sr. Advisor will likely report to a Director or VP of Product Management or a dedicated AI/Technology leadership role. They will work closely with various technical and business teams, acting as a bridge between strategy and execution.

Operations Impact: The role has a direct impact on Fiserv's competitive positioning and revenue generation by defining and launching AI products that enhance customer experience, streamline operations, and create new market opportunities within the fintech space. Successful AI product strategies can lead to significant market differentiation and increased customer acquisition/retention.

Growth Opportunities:

• Specialization: Deepen expertise in specific AI domains (e.g., Generative AI, NLP, Machine Learning Operations - MLOps) or specific industry verticals within fintech.

• Leadership: Transition into management roles, leading teams of Product Managers or AI strategists.

• Strategic Influence: Move into higher-level strategy roles, influencing the company's overall technology and innovation agenda.

• Cross-functional Mobility: Explore opportunities in related fields such as AI Research, Data Science leadership, or Business Strategy.

📝 Enhancement Note: The "Sr Advisor I" title implies a strong individual contributor path with significant strategic scope. Growth opportunities will likely involve increasing levels of strategic influence, team leadership, and specialization within the AI and fintech domains.

🌐 Work Environment

Office Type: On-site in Pune, India, at Fiserv's Trion Business Park. This suggests a traditional office environment designed for collaboration and focused work.

Office Location(s): Pune, India. This location is a significant IT and business hub in India, offering access to a skilled talent pool and a dynamic work environment.

Workspace Context:

• A professional office setting conducive to focused work and team collaboration.

• Access to necessary technology infrastructure, including potentially high-performance computing resources for AI development and testing.

• Opportunities for in-person interaction with colleagues, fostering a strong team dynamic and efficient communication.

• Likely access to collaborative spaces, meeting rooms, and standard office amenities.

Work Schedule: While the role is on-site, there's a mention of up to 30% travel to other Fiserv offices, indicating a need for flexibility and willingness to travel for business purposes. Standard business hours are expected, with potential for extended hours during critical project phases.

📝 Enhancement Note: The on-site requirement in Pune, coupled with potential travel, suggests a need for candidates who thrive in a collaborative office setting and are comfortable with business travel. This environment is expected to facilitate direct team interaction and knowledge sharing.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: HR or recruiter call to assess basic qualifications, experience, and cultural fit.

• Hiring Manager Interview: In-depth discussion focusing on experience, product strategy approach, and leadership capabilities. Expect questions about past product successes and failures.

• Technical/Product Assessment: This may involve a case study, product design exercise, or technical deep-dive related to AI/ML products. Candidates will be evaluated on their strategic thinking, problem-solving skills, and technical understanding.

• Cross-functional Panel Interview: Interviews with key stakeholders from engineering, data science, marketing, or sales to assess collaboration style and ability to work with diverse teams.

• Final Round: May involve senior leadership for final approval, focusing on strategic alignment and overall fit.

Portfolio Review Tips:

• Curate Strategically: Select 3-5 of your most impactful AI/ML product strategy projects. Tailor the selection to highlight experience with IVR, Chat GPT, and Telecom AI if possible.

• Structure Your Narratives: For each project, clearly outline the problem statement, your strategic approach, the product vision, roadmap execution, cross-functional collaboration, key challenges overcome, and quantifiable results (KPIs achieved, ROI).

• Showcase Technical Acumen: Be prepared to discuss the AI/ML technologies used, the data science principles applied, and the technical architecture at a high level.

• Emphasize Impact: Quantify achievements whenever possible. Use metrics such as market share growth, revenue increase, cost reduction, user engagement improvements, or efficiency gains.

• Prepare for Q&A: Anticipate questions about your decision-making process, how you handled trade-offs, and how you would approach similar challenges in Fiserv's context.

Challenge Preparation:

• AI Product Case Study: Be ready to analyze a hypothetical AI product scenario, define its strategy, outline a roadmap, and propose key features. Focus on how you would leverage AI/ML to solve a specific business problem for Fiserv's clients.

• Roadmap Prioritization: Practice prioritizing features based on various factors like business value, technical feasibility, customer demand, and strategic alignment.

• Stakeholder Management Scenario: Prepare to discuss how you would manage conflicting priorities or feedback from different stakeholder groups (e.g., engineering vs. sales).

📝 Enhancement Note: The portfolio review is critical for this role. Candidates should proactively prepare a concise, impactful presentation that demonstrates their strategic thinking, technical understanding of AI, and ability to deliver results in a complex enterprise environment. Highlighting experience with specific technologies mentioned (IVR, Chat GPT, Telecom) will be advantageous.

🛠 Tools & Technology Stack

Primary Tools:

• Product Management Platforms: Jira, Confluence, Asana, Trello (for project tracking, documentation, and collaboration).

• Roadmapping Tools: Aha!, Productboard, Roadmunk (for strategic planning and visualization).

• Collaboration Suites: Microsoft Teams, Slack, Google Workspace (for day-to-day communication and team interaction).

Analytics & Reporting:

• Data Analytics Tools: Tableau, Power BI, Looker (for data visualization and business intelligence).

• Web Analytics: Google Analytics, Adobe Analytics (for understanding user behavior on digital platforms).

• Performance Monitoring Tools: Datadog, Grafana (for tracking application performance and system health).

CRM & Automation:

• CRM: Salesforce, Microsoft Dynamics (for managing customer relationships and sales pipelines).

• Cloud AI Platforms: AWS AI, Google Cloud AI, Azure AI (essential for deploying and managing AI models and services).

• Machine Learning Platforms: TensorFlow, PyTorch, Scikit-learn (for developing and training AI models).

• Big Data Platforms: Hadoop, Spark, Databricks (for processing and analyzing large datasets).

• Data Warehouses: Snowflake, Google BigQuery, Amazon Redshift (for storing and managing structured data).

📝 Enhancement Note: This role requires familiarity with a broad spectrum of tools, from standard product management software to advanced AI/ML development and deployment platforms. Proficiency in cloud AI services (AWS, GCP, Azure) and ML frameworks (TensorFlow, PyTorch) is particularly important, given the AI focus.

👥 Team Culture & Values

Operations Values:

• Innovation: A commitment to exploring and implementing cutting-edge AI technologies to drive product advancement and create new value propositions.

• Customer Focus: Dedication to understanding and meeting the evolving needs of Fiserv's clients through intelligent, user-centric solutions.

• Data-Driven Decision Making: Reliance on data analysis, user feedback, and performance metrics to inform strategic choices and product development.

• Collaboration & Teamwork: Fostering an environment where diverse teams work together effectively, sharing knowledge and expertise to achieve common goals.

• Integrity & Security: Upholding the highest standards of data security, privacy, and compliance, critical in the fintech industry.

Collaboration Style:

• Cross-functional Integration: The role demands strong collaboration across product, engineering, data science, UX/UI, marketing, and sales teams.

• Proactive Communication: Open and transparent communication is essential to keep all stakeholders informed and aligned.

• Constructive Feedback Culture: Encouraging an environment where feedback is shared openly and constructively to drive continuous improvement in products and processes.

• Agile & Iterative Approach: Embracing iterative development cycles and adapting to feedback and changing market conditions.

📝 Enhancement Note: The culture at Fiserv, particularly within its technology and product teams, likely emphasizes innovation and customer-centricity, driven by data. The collaborative style is crucial for bridging the gap between technical AI capabilities and business outcomes.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Staying ahead of the curve with new AI advancements and integrating them effectively into product roadmaps.

• Data Complexity & Quality: Managing and leveraging vast amounts of complex financial data while ensuring accuracy, privacy, and compliance.

• Cross-Functional Alignment: Ensuring consistent understanding and prioritization across diverse teams with different objectives and technical backgrounds.

• Balancing Innovation with Stability: Introducing novel AI features while maintaining the robustness, security, and reliability expected in financial services.

• Measuring AI ROI: Clearly defining and demonstrating the return on investment for AI initiatives, which can sometimes be complex to quantify directly.

Learning & Development Opportunities:

• Advanced AI/ML Training: Access to specialized training programs, workshops, and certifications in areas like Generative AI, Deep Learning, or MLOps.

• Industry Conferences: Opportunities to attend leading AI and fintech conferences to stay updated on trends and network with peers.

• Mentorship Programs: Potential for mentorship from senior leaders within Fiserv's technology or product organizations.

• Leadership Development: Programs focused on enhancing leadership skills for managing teams and influencing strategic decisions.

• Exposure to Diverse AI Applications: Working across different AI use cases within the fintech domain, broadening expertise.

📝 Enhancement Note: The challenges highlight the dynamic nature of AI in fintech. The growth opportunities focus on continuous learning, skill enhancement, and career progression within a large, established organization.

💡 Interview Preparation

Strategy Questions:

• "Describe your process for developing a product strategy for a new AI-powered feature. How do you balance innovation with business objectives?"

• "How do you prioritize features on an AI product roadmap when faced with competing demands from different departments (e.g., Sales, Engineering, Compliance)?"

• "Walk me through a time you had to translate a complex business problem into technical requirements for an AI/ML team. What was your approach, and what were the key challenges?" Company & Culture Questions:

• "Based on your understanding of Fiserv and the fintech industry, what do you see as the biggest opportunities for AI product innovation in the next 2-3 years?"

• "How would you foster collaboration between data scientists, engineers, and business stakeholders within Fiserv's environment?"

• "Describe a time you had to influence stakeholders without direct authority. How did you build consensus for your AI product vision?" Portfolio Presentation Strategy:

• Start with the 'Why': Clearly articulate the business problem your product solved and the strategic rationale behind your AI-driven solution.

• Quantify Impact: Use metrics and KPIs to demonstrate the tangible results of your product strategy (e.g., X% increase in user engagement, Y% reduction in operational costs, Z% revenue growth attributed to the feature).

• Showcase Your Process: Explain your methodology for strategy development, roadmap planning, requirements definition, and cross-functional collaboration.

• Highlight AI Specifics: Detail the AI/ML technologies used and why they were the right choice. Discuss any data considerations or challenges.

• Be Ready to Dive Deep: Anticipate follow-up questions on specific technical aspects, decision-making processes, and how you would apply your learnings at Fiserv.

📝 Enhancement Note: Interview preparation should focus on demonstrating strategic thinking, a deep understanding of AI/ML, excellent communication skills, and a proven ability to deliver results in a complex, regulated industry. Candidates should be ready to discuss specific AI technologies and their application in fintech.

📌 Application Steps

To apply for this operations position:

• Submit your application through the Fiserv careers portal using the provided link.

• Curate Your Portfolio: Select and refine 3-5 key AI product strategy projects that best showcase your experience with roadmap development, cross-functional leadership, and quantifiable results. Ensure your portfolio highlights experience relevant to IVR, Chat GPT, or Telecom AI if applicable.

• Optimize Your Resume: Tailor your resume to highlight keywords from the job description, focusing on your experience in AI Product Strategy, Machine Learning, Data Science, and your years of relevant experience. Quantify achievements with specific metrics.

• Prepare Your Narrative: Practice articulating your career journey, key accomplishments, and your strategic approach to AI product management. Be ready to discuss specific case studies from your portfolio in detail.

• Research Fiserv: Familiarize yourself with Fiserv's business, its position in the fintech market, its AI initiatives (if publicly available), and its company values to demonstrate genuine interest and cultural alignment.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.