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Mandatory skill
sets:
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Job Description: Director – Enterprise
Architecture Practice (Energy – Oil & Gas)
- Company:
PwC India
- Location:
Mumbai, Bangalore, Delhi, India (Local Indian Market Focus)
- Experience Level:
12+ Years Total (with 10+ years in relevant domains & 5+ years in
Enterprise Architecture)
- Position Level:
Director
- Qualification:
BE / B.Tech / M.Tech (Minimum 60% throughout academic career)
Role Summary:
As Director of our Enterprise Architecture
Practice, you will lead our expansion across Energy- Oil & Gas.
Clients in these sectors require elite Enterprise Architects (EAs) who have
risen from hands-on domain engineering into end-to-end architectural mastery.
You will architect modern systems to optimize operational metrics, accelerate
product pipelines, reinvent quality assurance via AI, manage embedded
systems/software with manufacturing-floor rigor, and orchestrate smooth,
automated reactions to global supply chain and market shocks.
The
role involves driving strategy, optimizing processes, and integrating
technologies to deliver intelligent, scalable, and sustainable solutions
across Energy (Oil & Gas). To succeed, you must possess deep, pragmatic
implementation experience deploying smart connected ecosystems, integrating a
heterogenous system across the plants and a next generation integrated
operation center (IOC) to drive towards a semi-autonomous operation.
A Typical Day in Life
- Market & Point of View (POV)
Development: Partner with market coverage teams to
pinpoint local Indian enterprise clients primed for disruption.
Formulate highly informed, customized POVs to capture their strategic
transformation agendas.
- Deep Discovery & Ecosystem
Stitching: Conduct intensive client discovery
sessions to isolate operational pain points. Build bespoke architecture
blueprints by seamlessly stitching solutions across internal PwC
practices (Data & Analytics, Cyber, Business Consulting), cloud
hyper-scalers (OEMs), and cutting-edge startup ecosystems.
- Presales, Value Realization &
Approvals: Present architectural solutions to
client executives and drive Proof of Concept (POC) deliveries.
Collaborate with our Value Realization practice to showcase data-driven
ROI estimates, and engineer profitable, high-margin proposals vetted
through internal PwC governance.
- Delivery Oversight & Steering
Governance: Ensure early and planned hand-off to
delivery team yet remain in continuous touch with the client. Sit on steering committees, mediate
complex asks/requests from clients and collaborate internally to achieve
success on time on budget implementation.
- IP Creation & Assetization:
Continuously audit bespoke client solutions to isolate repeatable design
patterns. Convert these patterns into reusable frameworks and take them
to market via coverage teams and cloud OEMs to generate new, passive
revenue streams.
- AI & Innovation Scanning:
Systematically embed GenAI and advanced tooling to optimize PwC sales
velocity, delivery metrics, and client offerings. Monitor competing
market frameworks and OEM capabilities to sustain PwC’s cutting-edge
competitive advantage.
- Thought Leadership & Public
Presence: Represent PwC’s architectural
credentials at premier industry events, engage with leading media
platforms to amplify our market presence, and publish high-impact
bylines.
1.
Core Competencies
- Good Understanding of Energy landscape,
trends and IT services
- Identify and evaluate digital
opportunities across the energy value chain (upstream, midstream &
downstream).
- Strong understanding of next generation IOC
leveraging AI towards semi-autonomous operation.
- Demonstrated competency in other
modelling, statistical analysis, and/or simulation optimization is
desired.
- Experience in detailed economic
modelling of upstream, midstream & downstream is preferred.
- Own the end-to-end product lifecycle,
from ideation and requirement gathering to development, launch, and
continuous improvement.
- Translate business needs into actionable
product requirements, user stories, and digital solution architectures
- Identify use cases and integrate IoT,
AI/ML, cloud platforms, & digital twin tech. into product offerings.
- Ensure seamless integration with
enterprise systems such as SAP, SCADA, DCS for unified data flow across
planning, operations, and reporting.
2.
Commercial Strategy &
FinOps
- Value-First Decision Making:
Drive architectural choices centered on "Should we build
this?" to unlock tangible enterprise value and protect customer
margins.
- Cost Optimization & Sourcing:
Conduct sharp "Buy vs. Build" evaluations, navigate
third-party data rights, manage model training constraints, and
aggressively eliminate sprawling cloud infrastructure or redundant
vendor licensing.
3.
Pragmatic Technical
Execution
- Complex Hybrid Integration:
Architect scalable, low-latency, and high-performance ecosystems that
bridge IT and Operational Technology (OT), cloud and on-premises
environments, and custom/COTS software stacks.
- AI-Native Engineering:
Structure robust data pipelines and data hygiene fabrics required to
scale AI safely from isolated validation tests into core enterprise
operations.
- Technical Debt Remediation:
Guide to pragmatic modernization paths, knowing precisely when to patch
a monolith for speed versus when to advise multi-million-dollar
refactoring.
Key Result Areas (KRAs)
- Financial Performance:
Direct/Primary accountability for sales targets & associated
pre-sales activities and secondary responsibility for Practice Revenue
and Margin targets.
- Design Wins & Reusable Assets:
Convert bespoke client design wins into repeatable, productized assets
that establish fresh revenue streams for the firm.
- Global Network Reusability:
Create cutting-edge thought leadership solutions adopted and reused
across the global PwC network.
- Cost Reduction:
Continuously reduce the cost of sale and project delivery via internal
process improvements, automation, and AI adoption.
Good-to-Have Background:
- Active experience deploying AI and
Machine Learning capabilities inside Energy – O&G.
- Proven background creating data-driven
value realization models for client’s post-implementation.
- Formal experience in end-to-end Project
Management and delivery methodologies.
- Deep familiarity with architectural
frameworks like TOGAF, Zachman, or ArchiMate.
- Familiarity with commonly deployed
enterprise business applications
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