Pega CDP Solution Architect

Tata Consultancy Services; Hyderabad, Chennai District, Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Tata Consultancy Services seeks a senior professional to design and optimize Next Best Action strategies within Pega CDH, shaping scalable decision logic across CLM and Martech teams.

You will own end-to-end decisioning design, collaborate with data scientists, analysts, and business stakeholders, and ensure governance, privacy, and compliance in all NBA designs. This role emphasizes experimentation and data-driven improvements.

Responsibilities

• Design, build and optimise Next Best Action strategies in Pega CDH, translating business objectives and lifecycle goals into scalable, model driven decision logic.
• Own the endtoend decisioning design within CLM squads, collaborating with NBA Designers, Analysts, Data Science and business stakeholders.
• Configure and govern Pega CDH components, including actions, treatments, engagement policies, arbitration rules, taxonomies and strategy frameworks.
• Lead decisioning experimentation and performance optimisation, conducting A/B tests, multivariate tests and simulations to drive business uplift.
• Partner with Data Science and Insights teams to analyse customer and performance data, ensuring datadriven, explainable decisions.
• Provide strategic oversight of the decisioning ecosystem to support longterm maturity of the Martech & Decisioning capability.
• Ensure decisioning solutions comply with regulatory, consent and ethical marketing requirements, embedding privacy and governance.
• Act as a senior subjectmatter expert for Pega CDH, coaching team members and uplifting capability across CLM and Martech teams.

Job description

Role & responsibilities

• Design, build and optimise Next Best Action strategies in Pega Customer Decision Hub, translating business objectives and customer lifecycle goals into scalable, model driven decision logic that delivers relevant, personalised customer interactions.
• Own the endtoend decisioning design within CLM squads, working closely with NBA Designers, Analysts, Data Science and business stakeholders to define decision frameworks, requirements, and measurable outcomes.
• Configure and govern Pega CDH components, including actions, treatments, engagement policies, arbitration rules, taxonomies and strategy frameworks, ensuring alignment with Pega guardrails, CDH best practices, and enterprise architecture standards.
• Lead decisioning experimentation and performance optimisation, designing and executing A/B testing, multivariate testing, control groups, and simulations to drive continuous improvement and quantify business uplift.
• Partner with Data Science and Insights teams to analyse customer, behavioural, and performance data, ensuring decision strategies are datadriven, explainable, and continuously optimised over time.
• Provide strategic oversight and stewardship of the decisioning ecosystem, contributing to the evolution of NBA frameworks, reusable patterns, and best practices to support longterm maturity of the Martech & Decisioning capability.
• Ensure decisioning solutions comply with regulatory, consent, and ethical marketing requirements, embedding privacy, fairness, and governance considerations into all NBA designs.
• Act as a senior subjectmatter expert for Pega CDH, coaching team members, uplifting capability, and fostering a collaborative, innovative, and highperforming decisioning culture across CLM and Martech teams.