Technology Product Manager

We are seeking a senior Technology Product Manager based in India/ Latam/ Europe

We are seeking a senior Technology Product Manager / Business Technology Partner (BTP) for our client.

The BTP is the single accountable owner for end-to-end technology delivery within a defined business domain. This role drives execution and delivery outcomes by owning scope, schedule, quality, and business impact. The individual will actively engage with engineering and architecture teams to validate and challenge technical designs, identify and diagnose delivery risks early, and take decisive corrective actions to keep initiatives on track. The BTP is empowered to make binding trade-off decisions on scope, timeline, and quality within agreed guardrails and to directly intervene to remove blockers and drive resolution.

This role is for someone who can:

• Demonstrate strong technical credibility with deep expertise in AI/ML and data platforms. 

• Hands on experience on RAG and its use in real life application

• Operate effectively within a diversified, metric-driven global-local delivery model. 

• Collaborate with and influence senior stakeholders through clear decision-making and communication. 

• Think strategically while applying high emotional intelligence. 

• Exhibit adaptability and resilience in a fast-paced, complex technology environment

What we expect from you

• End-to-end technical delivery ownership

• Own delivery outcomes for all initiatives in the domain; be directly accountable for on-time, on-scope, on-quality delivery.

• Make binding trade-off decisions on scope, timeline and quality for assigned initiatives within agreed guardrails; document and communicate decisions and impacts.

• Diagnose root causes of delivery slippage and lead hands-on remediation plans; escalate only when guardrails are breached.

• Enforce delivery commitments: allocate resources, re-plan, de-scope or extend timelines as needed to protect critical outcomes.

• Hold engineering and vendor teams accountable for commitments; validate progress through direct evidence (demos, code reviews, deployment artifacts)

2.Delivery operational control

• Establish and run delivery governance that drives decisions and action (execution reviews, checkpoints, RAID with owners and deadlines).

• When delivery is slipping, step in immediately: diagnose root cause across technical, requirement and dependency dimensions and execute a remediation plan with named owners and timelines.

• Act as the primary driver of resolution; coordinate, assign, and execute fixes across teams and vendors; escalate only after direct remediation attempts or when guardrails are exceeded.

• Create constructive pressure to enforce scope, timeline and quality commitments; authorize exceptions or temporary workarounds where appropriate and timebound.

• Engineering & architecture

• Act as the technical authority for delivery constraints: interrogate, challenge and validate architecture and design decisions against delivery and operational requirements.

• Require design changes or reject solutions that introduce unacceptable delivery risk; sign off on architecture only when designs meet agreed delivery, security and operability criteria.

• Lead technical trade-off discussions, arbitrate between alternatives, and mandate pragmatic adjustments to preserve delivery timelines and quality.

• Ensure solutions built using AI/ML components meet the requirements and align with platform and governance standards.

• Business & technology translation

• Translate business priorities into implementable delivery plans with clear acceptance criteria and measurable outcomes.

• Eliminate ambiguity in requirements and ensure engineering teams understand expected business behavior and success measures.

• Balance business expectations with engineering realities; make clear recommendations on scope/timeline/quality tradeoffs.

• Experience in Business process transformation

• Vendor onboarding & compliance process ownership

• Own vendor onboarding and environment readiness as time-critical delivery workstreams: define go/no-go criteria, set onboarding milestones, and hold vendors and internal teams accountable to meet them.

• Drive remediation for vendor or environment delays: reassign resources, require vendor performance corrective action, or enforce contractual remedies when necessary.

• Sign off on environment readiness and vendor productivity prior to milestone gates.

• Decision-Making Authority

• Authorized to make binding trade-off decisions on scope, timeline and quality for assigned initiatives within defined guardrails. 

• Authorized to reallocate delivery resources, approve temporary workarounds, and require vendor remediation. 

• Required to document decisions, rationale and impacts; escalate to leadership only when guardrails are exceeded or governance constraints apply.

What success looks like

• On-time delivery: Measurable improvement in on-time milestone delivery and reduction in slippage

• Early risk resolution: Risks are identified, owned and mitigated early; critical risk is reduced.

• Vendor productivity: Vendors onboarded and productive within agreed SLAs; vendor ramp time and onboarding tasks met by cutoff are tracked.

• Environment readiness: Environments meet deployment criteria and are signed off before milestone gates; environment-related delays approach zero.

What you need to have: 

• 12–16+ years of proven experience owning end-to-end technology delivery outcomes in complex engineering or transformation roles.  

• Demonstrated track record of direct accountability for delivery results, working closely and decisively with engineering and architecture teams. 

• Experience leading cross-functional delivery in matrixed organizations and managing third-party vendor performance to meet delivery commitments. 

• Relevant domain expertise preferred; experience in regulated industries such as insurance or finance is an advantage. 

• Strong, demonstrable experience in AI and automation initiatives, including designing or delivering AI/ML-enabled features, integrating ML models into production, or leading intelligent automation programs. 

• Degree in Computer Science, Engineering, or equivalent technical background. 

• Certifications in delivery/program management or architecture are beneficial but not mandatory.

Core Skills 

• Execution & Delivery Leadership

• Proven ability to own and drive delivery outcomes end to end in complex, cross-functional environments. 

• Expertise in delivery governance, RAID management, program cadence, and execution frameworks with a focus on decisive intervention and resolution. 

• Relentless focus on removing impediments and driving accountability rather than passive visibility or reporting.

• Technical depth & authority

• Strong technical expertise in AI/ML concepts with hands-on experience in model development, integration, and productionization. 

• Deep understanding of data platforms and analytics stacks underpinning AI/ML solutions, including data ingestion, ETL/streaming, warehousing, feature engineering, and serving. 

• Familiarity with ML lifecycle management, MLOps patterns, and relevant tooling. 

• Credibility and authority to challenge and influence engineering and architecture decisions related to AI/ML components, data pipelines, feature stores, embedding/vector stores, and model serving infrastructure. 

• Practical, multi-layered approach to identifying and mitigating AI-driven risks such as hallucinations, inadequate guardrails, and data security concerns. 

• Solid grasp of integrations, system architecture, security, and non-functional requirements. 

• Ability to interrogate technical designs, quantify implementation risks, and communicate these effectively to business stakeholders.

• Risk & escalation management

• Proven capability to anticipate issues early, lead cross-team resolution efforts, and manage critical escalations with direct intervention. 

• Comfortable making pragmatic trade-offs under pressure to protect delivery outcomes. 

• Stakeholder influence & communication

• Strong presence and influence with senior stakeholders, able to lead without direct authority. 

• Skilled at translating complex technical risks into clear business impacts and presenting actionable choices. 

• Business domain understanding

• Sufficient domain knowledge to ensure delivery relevance and prioritize work based on business impact, while respecting business ownership boundaries.

Why join our team:

• We help you be your best through professional development opportunities, interesting work and supportive leaders. 

• We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.

• Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.