Job description

AI Demand Generation Market Leader Job summary Drive complex AI powered programs that transform enterprise decision making through automated insights while applying strategic planning expertise to align initiatives with organizational goals in a global hybrid work environment ensuring predictable delivery measurable value and responsible innovation for customers and society. Responsibilities • Lead end to end planning and execution of AI automated insights programs to ensure predictable delivery of business outcomes across multiple functions and geographies. • Coordinate cross functional teams to translate strategic objectives into detailed AI use cases and execution roadmaps that enable timely and data informed decisions. • Oversee program scope milestones and dependencies to maintain alignment with enterprise strategy while adapting plans responsibly to evolving priorities and constraints. • Manage program level budgets forecasts and resource plans to maximize value realization from AI initiatives while maintaining strong financial discipline and transparency. • Collaborate with data science engineering and product teams to define requirements for automated insights solutions that are scalable reliable and ethically governed. • Monitor program risks issues and assumptions related to AI adoption data quality and change readiness and drive structured mitigation actions with accountable owners. • Establish outcome based metrics and key results to measure the impact of automated insights on decision quality operational efficiency and stakeholder satisfaction. • Drive structured governance rituals including steering forums status reviews and decision checkpoints to keep senior stakeholders informed and engaged. • Support change management activities by coordinating communication plans training efforts and adoption tracking to embed AI powered insights into daily business processes. • Coordinate with information security and compliance stakeholders to ensure AI programs follow responsible data practices and regulatory expectations. • Maintain program documentation roadmaps and status reports with clear narratives that communicate complex AI topics in an accessible and practical manner. • Identify continuous improvement opportunities in program delivery practices tooling and data workflows to increase reliability and speed of AI solution release cycles. • Mentor project teams on modern program management methods including outcome driven planning and incremental value release to enhance overall execution maturity. Qualifications • Demonstrate extensive experience managing large scale technology transformation programs with a strong focus on data analytics or AI enabled solutions in complex organizations. • Bring deep familiarity with AI automated insights concepts such as model driven reporting advanced analytics and decision support platforms applied in real business contexts. • Apply proven strategic planning experience to connect AI program roadmaps with long term enterprise objectives and measurable value drivers. • Utilize strong communication and negotiation abilities to align diverse stakeholders around priorities trade offs and success measures for AI initiatives. • Exhibit hands on experience with modern program management practices including agile delivery iterative planning and evidence based progress tracking. • Show practical understanding of data governance model explainability and responsible technology principles to support trustworthy AI usage. • Display the ability to guide hybrid teams across locations and time zones using collaborative tools that support transparency inclusivity and effective coordination. • Leverage familiarity with analytics platforms cloud ecosystems and integration patterns sufficient to engage meaningfully with technical teams and vendors. • Present a track record of delivering programs in day shift environments that require close collaboration with business stakeholders and technology partners. • Hold experience working in multinational environments where clear communication cultural awareness and structured methods are essential for program success. • Demonstrate resilience and structured problem solving skills to navigate ambiguity and conflicting priorities while keeping attention on outcomes and societal impact. • Apply mentoring and coaching capabilities to uplift program team skills in planning risk management and value realization across AI oriented initiatives. Salary and Other Compensation : Applications will be accepted until July 31, 2026. The annual base salary for this position is between $220,000 - $275,000 depending on the experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program and stock awards, based on performance and subject to the terms of Cognizant’s applicable plans. Benefits : Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: • Medical/Dental/Vision/Life Insurance • Paid holidays plus Paid Time Off • 401(k) plan and contributions • Long-term/Short-term Disability • Paid Parental Leave • Employee Stock Purchase Plan Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. #LI-SB1 About Cognizant: Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant. Additional employment information Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws. If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com for roles based in the Americas or CareersIndia2@cognizant.com for roles based in India.

Requirements

Must-haves

AI Demand Generation Market Leader
Lead end to end planning and execution of AI automated insights programs to ensure predictable delivery of business outcomes across multiple functions and geographies.
Coordinate cross functional teams to translate strategic objectives into detailed AI use cases and execution roadmaps that enable timely and data informed decisions.
Oversee program scope milestones and dependencies to maintain alignment with enterprise strategy while adapting plans responsibly to evolving priorities and constraints.
Manage program level budgets forecasts and resource plans to maximize value realization from AI initiatives while maintaining strong financial discipline and transparency.
Collaborate with data science engineering and product teams to define requirements for automated insights solutions that are scalable reliable and ethically governed.
Monitor program risks issues and assumptions related to AI adoption data quality and change readiness and drive structured mitigation actions with accountable owners.
Establish outcome based metrics and key results to measure the impact of automated insights on decision quality operational efficiency and stakeholder satisfaction.
Drive structured governance rituals including steering forums status reviews and decision checkpoints to keep senior stakeholders informed and engaged.
Support change management activities by coordinating communication plans training efforts and adoption tracking to embed AI powered insights into daily business processes.
Coordinate with information security and compliance stakeholders to ensure AI programs follow responsible data practices and regulatory expectations.
Maintain program documentation roadmaps and status reports with clear narratives that communicate complex AI topics in an accessible and practical manner.
Identify continuous improvement opportunities in program delivery practices tooling and data workflows to increase reliability and speed of AI solution release cycles.
Mentor project teams on modern program management methods including outcome driven planning and incremental value release to enhance overall execution maturity.
Demonstrate extensive experience managing large scale technology transformation programs with a strong focus on data analytics or AI enabled solutions in complex organizations.
Bring deep familiarity with AI automated insights concepts such as model driven reporting advanced analytics and decision support platforms applied in real business contexts.
Apply proven strategic planning experience to connect AI program roadmaps with long term enterprise objectives and measurable value drivers.
Utilize strong communication and negotiation abilities to align diverse stakeholders around priorities trade offs and success measures for AI initiatives.
Exhibit hands on experience with modern program management practices including agile delivery iterative planning and evidence based progress tracking.
Show practical understanding of data governance model explainability and responsible technology principles to support trustworthy AI usage.
Display the ability to guide hybrid teams across locations and time zones using collaborative tools that support transparency inclusivity and effective coordination.
Leverage familiarity with analytics platforms cloud ecosystems and integration patterns sufficient to engage meaningfully with technical teams and vendors.
Present a track record of delivering programs in day shift environments that require close collaboration with business stakeholders and technology partners.
Hold experience working in multinational environments where clear communication cultural awareness and structured methods are essential for program success.

Nice-to-haves

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Application prep

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Keywords to mirror

aiagile

Platform: cognizant
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave