Posted 3 days ago
Data & Analytics Leader - BFSI, AI Transformation
@ Astra North Infoteck Inc.
Toronto, Ontario
Overview
Astra North Infoteck Inc. is hiring a Data & Analytics Leader to shape and grow enterprise transformation programs across financial services. The role combines data strategy, analytics, AI, consulting, business development and delivery leadership, with 18+ years of experience required.
Responsibilities:
- Advise executives on enterprise data and AI transformation
- Lead proposals, RFPs and solution shaping for large engagements
- Drive growth of data, analytics and AI services
- Define target-state data and AI architectures
- Lead and mentor cross-functional teams across locations
Requirements summary:
- 18+ years in data, analytics, AI and transformation
- Deep expertise in data architecture and governance
- Experience with Databricks, Snowflake or cloud data platforms
- Knowledge of financial services regulation and risk
- Proven consulting and business development success
- Bachelor's degree required; master's or MBA preferred
Tools & skills
Source and dates
Source type not verified · zoho
- Employer posting date
- 2026-11-03
- First seen by our source
- 2026-10-13
- Source record updated
- 2026-11-04
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Lead |
| Department | Business development |
| Experience | 18+ years |
| Manages people | Yes |
| Work setting | Office, Client sites |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (required), Master’s degree (preferred) |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Astra North Infoteck Inc.
| Field | Value |
|---|---|
| Open jobs on Jobsy | 426 |
Data & Analytics Leader - BFSI, AI Transformation
TheOpportunity
We are seeking an experienced Data & Analytics Leader to help shape and grow enterprise transformation programs across the financial services sector. This role brings together data strategy, analytics, AI, consulting, business development, executive advisory, and delivery leadership. You will work with senior stakeholders to define transformation priorities, shape large-scale opportunities, and guide teams from strategy through measurable value realization.
WhatYouWillDo
Build trusted relationships with business executives and senior technology leaders.
Advise clients on enterprise data strategy, analytics transformation, AI adoption, governance, modernization, and operating models.
Translate complex business challenges into practical transformation roadmaps, investment priorities, and measurable outcomes.
Lead executive workshops, discovery sessions, steering committee discussions, and strategic client conversations.
Drive growth for Data, Analytics, and AI services from opportunity identification and qualification through proposal, negotiation, and closure.
Shape large consulting and transformation engagements, including solution direction, value proposition, commercial approach, and delivery roadmap.
Lead RFPs and proactive proposals, ensuring solutions are differentiated, feasible, and focused on business outcomes.
Build joint opportunities with account teams, alliance partners, technology providers, and consulting practices.
Define target-state strategies across cloud data platforms, data products, analytics, AI/ML, GenAI, governance, and responsible AI.
Provide executive oversight from opportunity shaping and mobilization through delivery, governance, and value realization.
Lead and mentor consulting, architecture, engineering, analytics, and AI teams across locations.
Develop reusable offerings, reference architectures, case studies, estimators, executive narratives, and delivery playbooks.
WhatYouBring
18+ years of experience across data, analytics, AI, consulting, and enterprise transformation, including leadership of large-scale programs.
Deep expertise in enterprise data strategy, data architecture, governance, operating models, data products, and data modernization.
Strong understanding of data engineering, including ETL/ELT, integration, APIs, orchestration, data quality, observability, DataOps, and platform engineering.
Experience leading analytics and BI initiatives, including enterprise reporting, self-service analytics, semantic layers, advanced analytics, and decision intelligence.
Knowledge of AI, machine learning, Generative AI, Agentic AI, MLOps/LLMOps, responsible AI, and AI-led business transformation.
Experience defining enterprise solutions across cloud platforms, Databricks, Snowflake, and other modern data platforms.
Strong knowledge of financial services requirements, including regulatory compliance, privacy, security, resilience, auditability, and risk management.
Proven success in consulting, business development, presales, solutioning, opportunity qualification, proposals, pricing support, and executive stakeholder management.
Ability to lead global, cross-functional teams and engage effectively with senior business leaders.
Bachelor's degree in a relevant discipline. A master's degree, MBA, and relevant cloud, architecture, data, analytics, AI, or program certifications are preferred.
Journal
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