AIA - Artificial Intelligence & Analytics Offering Lead
Job Summary
Serve as the chief architect for enterprise master data management and privacy centric analytics solutions defining architectural strategy governing data platforms and guiding high impact delivery across hybrid environments. Apply deep expertise in MDM functional design data privacy and analytics to enable trusted insights that power responsible business decisions and societal value while collaborating with cross functional teams in a day shift hybrid work model.
Responsibilities
- Define and maintain the enterprise wide architecture vision for master data management and analytics platforms to ensure trusted consistent and privacy aware data across all business functions.
- Design scalable MDM capabilities that harmonize customer product and partner data across diverse systems to support high quality analytics and regulatory compliant reporting.
- Oversee creation of logical and physical data models that incorporate privacy by design principles to safeguard personal and sensitive data used in analytical workloads.
- Guide solution teams in selecting and integrating MDM tools analytics platforms and privacy controls so that implementations remain aligned to the reference architecture and enterprise standards.
- Collaborate with analytics business and product stakeholders to translate strategic objectives into MDM and data privacy architecture roadmaps with measurable outcomes.
- Review and approve architecture artifacts for new initiatives by assessing performance security privacy scalability and cost implications across the hybrid environment.
- Provide architectural governance through design reviews decision records and reusable patterns that promote consistent implementation of MDM and privacy controls across projects.
- Partner with data privacy officers and information security teams to embed consent management data minimization masking and retention capabilities within the analytics ecosystem.
- Drive optimization of data integration pipelines and stewardship workflows to improve data quality lineage traceability and readiness for advanced analytics and artificial intelligence use cases.
- Mentor senior engineers and data professionals on MDM functional concepts privacy aware data modeling and analytics solution design to raise the overall architectural maturity of the organization.
- Assess new technologies and vendor solutions in MDM privacy enhancement and analytics infrastructure and recommend adoption strategies that align with business value and risk appetite.
- Coordinate with operations and support teams to ensure that hybrid deployments across on premises and cloud environments remain resilient observable and compliant with data protection obligations.
- Document reference architectures blueprints and implementation guidelines so delivery teams can reliably build and evolve analytics applications on top of the curated master data foundation.
Qualifications
- Bring extensive hands on experience designing and governing enterprise MDM solutions that support analytical and operational use cases in large complex organizations.
- Demonstrate strong expertise in data privacy concepts including anonymization pseudonymization consent management and data subject rights as applied to analytics platforms.
- Apply deep domain understanding in analytics to design architectures that enable descriptive diagnostic predictive and prescriptive insights using governed master data.
- Exhibit proficiency in data modeling data integration metadata management and data quality techniques that underpin robust MDM and analytics ecosystems.
- Show proven ability to collaborate effectively with business stakeholders data privacy functions and technical teams to balance innovation compliance and performance objectives.
- Display experience with hybrid data architectures that span on premises and cloud environments while maintaining consistent security privacy and governance policies.
- Utilize excellent communication and documentation skills to convey complex architectural decisions to both technical and nontechnical audiences and to drive alignment across teams.
Salary and Other Compensation:
Applications will be accepted until May 31, 2026.
The annual base salary for this position is between $220,000 - $240,000 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.
Certifications Required
No.
私たちについて：
コグニザント（NASDAQ: CTSH）は、AI builderおよびテクノロジーサービスプロバイダとして、AI投資を企業価値へとつなげるフルスタックのAIソリューションを提供しています。業界、業務プロセス、エンジニアリングに関する深い専門性を強みに、各企業固有のコンテキストをテクノロジーシステムに組み込み、人の力を最大限に引き出すとともに、具体的な成果の創出と、急速に変化する世界におけるグローバル企業の競争力維持を支援します。詳しくは、当社ウェブサイト www.cognizant.com をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。
