Intelligent Automation Product Owner Jobs (NOW HIRING)

IKCON TECHNOLOGIES INC delivers exceptional IT services and solutions that provide clients with definite edge over competitors and promoting highest standards of quality. We are currently looking for a Product Owner with one of our clients in New York City, NY. If you are actively looking for opportunities, please send us your updated resume with your contact details.

"U.S. Citizens and those authorized to work in the U.S. are encouraged to apply."

JOB TITLE

Product Owner

CITY

New York City, NY

STATE

NY (Hybrid)

TAX TERMS

Full Time

EXPERIENCE

10-15

INTERVIEW MODE

Teams Video Call/Telephonic

Job Title: Product Owner

Location: NYC, NY (Hybrid)

Full Time role

What you'll do

• Own discovery. Lead structured discovery efforts to clarify problem statements, current-state workflows, constraints, and success metrics and then translate that into a plan stakeholders can believe in.
• Set direction. Build and maintain a product roadmap that balances transformation, near-term outcomes, and operational stability.
• Drive AI-enabled transformation. Identify opportunities to embed AI, ML, and intelligent automation into operational workflows -- from reconciliation matching and exception triage to controls monitoring and evidence generation.
• Work with data science and engineering to move beyond manual processes, designing workflows where AI augments human judgment rather than replacing it.
• Run delivery with discipline. Define milestones, manage dependencies, track progress, and surface risks early.
• Be the connective tissue. Coordinate across business users, engineering, architecture, data science, and leadership; communicate status, tradeoffs, and decisions clearly.
• Bring users along. We use agile practices, but not every user group is mature in agile. You'll build trust through honest conversations, humility, and transparency while helping partners adopt better ways of working over time.
• Own the backlog. Translate needs into well-formed epics and stories with clear acceptance criteria; prioritize based on business value, risk, and effort.
• Handle conflict well. Navigate competing priorities, resolve disagreements constructively, and keep teams focused on outcomes.
• Champion quality and controls. Ensure solutions are operable and auditable where needed with clear definitions, controlled rollouts, and attention to reliability.
• Use AI responsibly. Leverage AI tools to move faster (analysis, writing, summarizing, prototyping, documentation), while maintaining strong judgment, validation, and appropriate guardrails. Model responsible AI usage for the team and the organization.

What we're looking for

• 7+ years in a Product Owner, Product Manager, or Senior Business Analyst role within financial services. Direct experience with back-office operations, fund accounting, reconciliation, controller workflows, or treasury is required.
• Demonstrated experience leading AI-driven or intelligent automation initiatives within finance or investment operations. Designing AI-enabled workflows, not just consuming AI tools. You've fundamentally changed how an operational process works through the application of ML, NLP, LLMs, or advanced analytics.
• Controllers or Ops environment familiarity. Experience with back-office functions such as cash and position reconciliation and working control procedures.
• Hands-on experience with fund accounting, reconciliation platforms, NAV processes, GL controls, or operational control frameworks at an asset manager, hedge fund, or fund administrator.
• Demonstrated strength in planning, budgeting, tracking, and delivery execution.
• Strong stakeholder management skills: you build rapport, create clarity, and keep diverse groups aligned across operations, finance, technology, and leadership.
• Excellent written and verbal communication; you can make complex work understandable and actionable.
• Proven ability to break down complex problems and drive decisions with incomplete information.
• Comfort working closely with engineering and data science teams; you don't need to code, but you should understand how software gets built, how models work, and how AI capabilities get embedded into real workflows.
• High integrity and maturity: you're transparent, consistent, and trusted.

Nice to have

• Experience with platforms such as Geneva, Arcesium, Investran, Kyriba, or similar fund accounting, operations, and treasury systems.
• Background in treasury, cash management, or investment operations transformation.
• Experience working with external fund administrators and managing the validation of their deliverables.
• Experience working in modern delivery environments (CI/CD, cloud platforms, event-driven systems, workflow orchestration, data platforms).
• A track record of driving transformation process, platform, or operating models.
• Familiarity with AI/ML frameworks, LLM integration patterns, or intelligent automation platforms in a financial services context.